📚 Awesome Microsoft Azure AZ-900 (Microsoft Azure Fundamentals) Study Guide Book & Course

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Who this course is for

👨‍🎓 Students preparing for the Microsoft Azure Fundamentals (AZ-900) Exam;
👨‍🎓 AWS Engineers;
👨‍🎓 Azure Engineers;
👨‍🎓 Cloud Architects;
👨‍🎓 Cloud Engineers;
👨‍🎓 DevOps Engineers;
👨‍🎓 Enterprise Architects;
👨‍🎓 Google Cloud Platform (GCP) Engineers;
👨‍🎓 Infrastructure Engineers;
👨‍🎓 IT Professionals;
👨‍🎓 Lead Engineers;
👨‍🎓 Product Architects;
👨‍🎓 Product Managers;
👨‍🎓 Product Owners;
👨‍🎓 Project Managers;
👨‍🎓 Scrum Masters;
👨‍🎓 Security Engineers;
👨‍🎓 Site Reliability Engineers;
👨‍🎓 Software Developers/Engineers;
👨‍🎓 Software Testers;
👨‍🎓 Solution Architects;
👨‍🎓 Team Leaders.

Requirements

🤩 Excitement to learn!
0️⃣ Prior knowledge is required;
✅ You can pass the Microsoft Azure Fundamentals (AZ-900) Exam solely based on our Study Guide Book & Course.

Introduction

What is Microsoft Azure?

Microsoft Azure is a comprehensive cloud computing platform created by Microsoft for building, testing, deploying, and managing applications and services through Microsoft-managed data centers. It provides a wide range of cloud services, including those for computing, analytics, storage, and networking.

Brief History and Evolution of Azure

Microsoft Azure was first announced in 2008 as "Project Red Dog" and was officially launched in 2010 as "Windows Azure." The platform has evolved significantly over the years:

2010: Initial launch as Windows Azure
2014: Renamed to Microsoft Azure
2016: Introduction of Azure Stack
2018: Launch of Azure Arc
2020: Introduction of Azure Synapse Analytics
2022: Launch of Azure OpenAI Service

Who Uses Azure: Organizations and Professionals

Azure's user base includes:

Enterprise organizations
Small and medium businesses
Startups and developers
Government agencies
Educational institutions
Healthcare providers
Financial services
Manufacturing companies

Key Azure Concepts for AZ-900

Resource Groups Resource groups are logical containers that hold related Azure resources for an application. Think of them as folders that help you organize and manage all the resources needed for a specific project or application.
- Practical Example: Imagine you're building a web application. Your resource group might contain:
  - A web app (App Service)
  - A database (Azure SQL Database)
  - A storage account for images
  - A virtual network for connectivity
- Why are they important?
  - Organization: Keep related resources together
  - Management: Apply policies and permissions to all resources at once
  - Cost tracking: Monitor spending for specific projects
  - Lifecycle management: Delete all resources together when no longer needed
- Documentation Reference: Azure Resource Groups Documentation
Subscriptions Subscriptions are the fundamental unit of billing and access management in Azure. They represent a billing relationship with Microsoft and provide a boundary for resource management.
- Practical Example: A company might have different subscriptions for:
  - Development environment
  - Testing environment
  - Production environment Each with its own billing and access controls.
- Types of Subscriptions:
  - Free Trial: 12 months of free services with $200 credit
  - Pay-as-you-go: Pay only for what you use
  - Enterprise Agreement: For large organizations with volume licensing
  - Student: Free services for verified students
- Documentation Reference: Azure Subscriptions Documentation
Management Groups Management groups provide a level of scope above subscriptions. They help you organize subscriptions into containers and apply governance conditions to those containers.
- Practical Example: A multinational company might organize their Azure resources like this:
```
Root Management Group
├── North America
│   ├── Production Subscriptions
│   └── Development Subscriptions
├── Europe
│   ├── Production Subscriptions
│   └── Development Subscriptions
└── Asia
    ├── Production Subscriptions
    └── Development Subscriptions
```
- Why use them?
  - Apply policies across multiple subscriptions
  - Manage access control at scale
  - Organize subscriptions by department, environment, or region
  - Implement consistent governance
- Documentation Reference: Azure Management Groups Documentation

Regions and Availability Zones

What are they?
- Regions: Geographic areas containing one or more data centers
- Availability Zones: Physically separate data centers within a region

Practical Example: Let's say you're deploying a critical application:

Region: East US
├── Availability Zone 1: Primary data center
├── Availability Zone 2: Backup data center
└── Availability Zone 3: Disaster recovery

This setup ensures your application remains available even if one data center fails.

Why are they important?
- High Availability: Deploy resources across multiple zones
- Disaster Recovery: Protect against regional outages
- Data Residency: Meet compliance requirements
- Performance: Choose regions close to your users

Region Pairs:

What are they? Region pairs are two regions within the same geography that are paired together for disaster recovery and high availability.

Practical Example:

North America Region Pairs:
├── East US
│   └── West US
├── Central US
│   └── East US 2
├── North Central US
│   └── South Central US
└── West US 2
    └── West US 3

Key Benefits:


Region Pair Benefits:
├── Disaster Recovery
│   ├── Automatic replication
│   └── Failover support
├── High Availability
│   ├── Cross-region redundancy
│   └── Load distribution
├── Data Residency
│   ├── Compliance requirements
│   └── Data sovereignty
└── Maintenance
    ├── Planned updates
    └── Service updates

Important Characteristics:
- Direct fiber-optic connection between paired regions
- Automatic replication of data between pairs
- Sequential updates to minimize downtime
- Guaranteed recovery time objectives (RTO)
- Compliance with data residency requirements

Use Cases:

Common Scenarios:
├── Disaster Recovery
│   ├── Business continuity
│   └── Data protection
├── High Availability
│   ├── Multi-region deployment
│   └── Load balancing
├── Compliance
│   ├── Data residency
│   └── Regulatory requirements
└── Performance
    ├── Global distribution
    └── Low latency

Sovereign Regions:

What are they? Sovereign regions are special Azure regions that are physically and logically isolated from the main Azure regions, designed to meet specific data sovereignty, compliance, and security requirements.

Available Sovereign Regions:

Sovereign Regions:
├── US Government
│   ├── US Gov Virginia
│   ├── US Gov Texas
│   ├── US Gov Arizona
│   └── US Gov DoD
├── China
│   ├── China East
│   └── China North
└── Germany
    ├── Germany Central
    └── Germany Northeast

Key Characteristics:

Sovereign Features:
├── Physical Isolation
│   ├── Separate data centers
│   └── Dedicated infrastructure
├── Logical Isolation
│   ├── Separate network
│   └── Access controls
├── Compliance
│   ├── Government standards
│   └── Industry regulations
└── Operations
    ├── Local operations
    └── Specialized support

Use Cases:

Common Scenarios:
├── Government
│   ├── Federal agencies
│   ├── Defense contracts
│   └── Public sector
├── Regulated Industries
│   ├── Healthcare
│   ├── Financial services
│   └── Critical infrastructure
└── Compliance Requirements
    ├── Data sovereignty
    ├── Regulatory compliance
    └── Security standards

Important Considerations:
- Separate Azure portal and management tools
- Different service availability
- Specialized compliance certifications
- Unique pricing and licensing
- Restricted access requirements
- Separate support channels
Documentation Reference: Azure Sovereign Regions

Azure Datacenters:

What are they? Azure datacenters are physical facilities that house the computing infrastructure for Azure services, designed with multiple layers of security, redundancy, and environmental controls.

Key Components:

Datacenter Components:
├── Physical Security
│   ├── 24/7 security personnel
│   ├── Biometric access
│   ├── Video surveillance
│   └── Security perimeters
├── Infrastructure
│   ├── Power systems
│   │   ├── Multiple power feeds
│   │   ├── UPS systems
│   │   └── Backup generators
│   ├── Cooling systems
│   │   ├── Redundant cooling
│   │   └── Temperature control
│   └── Network
│       ├── Fiber connectivity
│       └── Redundant paths
└── Environmental Controls
    ├── Fire suppression
    ├── Flood protection
    └── Climate control

Security Features:

Security Measures:
├── Physical Security
│   ├── Access control
│   ├── Security cameras
│   └── Intrusion detection
├── Network Security
│   ├── DDoS protection
│   ├── Firewalls
│   └── Encryption
└── Operational Security
    ├── Staff screening
    ├── Security protocols
    └── Incident response

Environmental Considerations:

Environmental Features:
├── Power Management
│   ├── Energy efficiency
│   ├── Renewable energy
│   └── Power monitoring
├── Cooling Systems
│   ├── Efficient cooling
│   ├── Temperature monitoring
│   └── Humidity control
└── Sustainability
    ├── Green initiatives
    ├── Waste reduction
    └── Carbon footprint

Operational Features:

Operations:
├── Monitoring
│   ├── 24/7 monitoring
│   ├── Performance tracking
│   └── Health checks
├── Maintenance
│   ├── Preventive maintenance
│   ├── Equipment updates
│   └── System upgrades
└── Support
    ├── Technical support
    ├── Emergency response
    └── Service restoration

Compliance and Certifications:

Certifications:
├── ISO Standards
│   ├── ISO 27001
│   ├── ISO 27018
│   └── ISO 22301
├── Industry Standards
│   ├── SOC 1/2/3
│   ├── PCI DSS
│   └── HIPAA
└── Regional Compliance
    ├── GDPR
    ├── CCPA
    └── Local regulations

Important Considerations:
- Multiple layers of redundancy
- Continuous monitoring and maintenance
- Regular security audits
- Environmental impact management
- Compliance with local regulations
- Disaster recovery capabilities
Documentation Reference: Azure Datacenter Security Azure Compliance

Documentation Reference: Azure Regions and Availability Zones Azure Region Pairs

Cloud Computing Fundamentals

What is Cloud Computing?

Cloud computing is the delivery of computing services over the internet, including servers, storage, databases, networking, software, analytics, and intelligence. Instead of owning and maintaining physical servers, you can access these resources on-demand from a cloud provider.

Real-World Analogy: Think of cloud computing like electricity. Instead of generating your own power, you pay for what you use from a utility company. Similarly, with cloud computing, you pay for computing resources as you need them, rather than maintaining your own infrastructure.

Benefits of Cloud Computing

Cost Efficiency

What it means: Pay only for what you use, with no upfront infrastructure costs.

Practical Example: A startup launching a web application:

Traditional Approach:
├── Buy servers: $10,000
├── Network equipment: $5,000
├── Data center space: $2,000/month
└── IT staff: $8,000/month

Cloud Approach:
├── Pay-as-you-go: ~$500/month
├── Scale as needed
└── No upfront costs

Scalability

What it means: The ability to increase or decrease resources based on demand.

Practical Example: An e-commerce website during holiday season:

Traffic Patterns:
├── Normal traffic: 1,000 users/hour
├── Holiday traffic: 10,000 users/hour
├── Cloud solution automatically scales
└── Returns to normal capacity after holiday

Documentation Reference: Azure Autoscaling Documentation

Performance
- What it means: Access to the latest hardware and global network infrastructure.
- Practical Example: A global company serving customers worldwide:
  - Deploy applications in multiple regions
  - Use Azure's global network
  - Implement CDN for static content
  - Result: Low latency for all users
- Documentation Reference: Azure Global Infrastructure
Security
- What it means: Advanced security features and regular updates managed by the cloud provider.
- Practical Example: A healthcare application handling patient data:
  - Azure handles physical security
  - Automatic security updates
  - Built-in DDoS protection
  - Compliance certifications (HIPAA, GDPR)
- Documentation Reference: Azure Security Documentation
Reliability
- What it means: High availability and disaster recovery capabilities.
- Practical Example: A banking application requiring 99.99% uptime:
  - Deploy across multiple availability zones
  - Automatic failover
  - Regular backups
  - Disaster recovery plan
- Documentation Reference: Azure Reliability Documentation
Predictability
- What it means: Consistent performance, predictable costs, and reliable service delivery through standardized infrastructure and automated management.
- Practical Example: A retail application during peak shopping seasons:
```
Predictability Benefits:
├── Performance
│   ├── Consistent response times
│   ├── Standardized infrastructure
│   └── Automated scaling
├── Cost
│   ├── Predictable billing
│   ├── Reserved capacity pricing
│   └── Usage-based costs
└── Operations
    ├── Automated maintenance
    ├── Standardized updates
    └── SLA guarantees
```
- Key Aspects:
  - Performance Predictability:
    - Consistent infrastructure
    - Standardized configurations
    - Automated scaling
    - SLA-backed performance
  - Cost Predictability:
    - Transparent pricing
    - Usage-based billing
    - Reserved instance options
    - Budget controls
  - Operational Predictability:
    - Automated maintenance
    - Standardized updates
    - Consistent security
    - Regular compliance checks
- Documentation Reference: Azure Service Level Agreements
Governance
- What it means: Centralized tools and policies to manage, monitor, and control cloud resources and ensure compliance.
- Practical Example: An enterprise uses Azure Policy and Management Groups to enforce naming conventions, resource tagging, and compliance requirements across all subscriptions.
- Key Aspects:
  - Policy enforcement
  - Resource organization
  - Compliance tracking
  - Audit and reporting
- Documentation Reference: Azure Governance Documentation
Manageability
- What it means: Simplified and automated management of resources using built-in tools, APIs, and dashboards.
- Practical Example: A company uses the Azure Portal, Azure CLI, and automation scripts to deploy, monitor, and update resources efficiently.
- Key Aspects:
  - Centralized management (portal, CLI, PowerShell)
  - Automation (ARM templates, scripts)
  - Monitoring and alerting
  - Resource consistency
- Documentation Reference: Azure Management Tools Documentation
Elasticity
- What it means: The ability to automatically scale resources up or down based on demand, ensuring optimal performance and cost efficiency.
- Practical Example: An e-commerce site automatically scales out web servers during a sale and scales back in after traffic returns to normal.
- Key Aspects:
  - Auto-scaling
  - Rapid provisioning and deprovisioning
  - Pay only for what you use
  - No need for over-provisioning
- Documentation Reference: Azure Autoscale Documentation

Azure as a Cloud Platform

Understanding Azure's Service Models

Infrastructure as a Service (IaaS)

What it is: Azure IaaS provides virtualized computing resources over the internet. You manage the operating system, middleware, and applications, while Azure manages the physical infrastructure.

Practical Example: A company migrating their on-premises servers to Azure:

Before Migration:
├── Physical Servers ($50,000)
│   ├── Database Server
│   ├── Web Server
│   └── Application Server
└── IT Staff ($100,000/year)
    ├── System Administration
    └── Maintenance

After Migration to Azure IaaS:
├── Azure VMs ($2,000/month)
│   ├── D4s v3 for Database
│   ├── B2s for Web Server
│   └── D2s v3 for Application
└── Reduced IT Staff ($50,000/year)
    └── Focus on Application Management

Common Use Cases:

Development and Testing:

Development Environment:
├── Dev VM: B2s ($50/month)
│   ├── 2 vCPUs
│   └── 4 GB RAM
├── Test VM: B2s ($50/month)
│   ├── 2 vCPUs
│   └── 4 GB RAM
└── Staging VM: D2s v3 ($100/month)
    ├── 2 vCPUs
    └── 8 GB RAM

Disaster Recovery:

Primary Site (On-premises):
├── Production Servers
└── Active Directory

Azure DR Site:
├── Replica VMs
└── Azure Site Recovery

High-Performance Computing:

HPC Cluster:
├── Compute Nodes: H-series VMs
│   ├── 8-64 vCPUs
│   └── Up to 448 GB RAM
├── Storage: Premium SSD
│   └── Up to 32 TB
└── Network: Accelerated Networking
    └── 40 Gbps

Cost Optimization:

VM Cost Management:
├── Reserved Instances
│   ├── 1-year commitment: 40% savings
│   └── 3-year commitment: 60% savings
│   └── Commitment to use specific VM types for fixed period
│   └── Best for predictable, continuous workloads
├── Spot VMs
│   └── Up to 90% savings
│   └── No SLA, can be evicted with 30s notice
│   └── Best for batch processing and development
└── Auto-scaling
    ├── Scale out: Peak hours
    └── Scale in: Off-hours
    └── Automatically adjusts VM instances based on demand
    └── Best for applications with variable workloads

Documentation Reference: Azure Virtual Machines Documentation

Platform as a Service (PaaS)

What it is: Azure PaaS provides a platform allowing customers to develop, run, and manage applications without the complexity of building and maintaining the infrastructure.

Practical Example: A web application deployment:

PaaS Architecture:
├── App Service for web app
│   ├── Automatic scaling
│   └── Built-in CI/CD
├── Azure SQL Database
│   ├── Managed database
│   └── Automatic backups
└── Azure Storage
    ├── Blob storage for files
    └── CDN for content delivery

Common Use Cases:

Web Application Development:

Modern Web App:
├── Frontend: Azure Static Web Apps
│   ├── React/Angular/Vue
│   └── Cost: Free tier available
├── Backend: Azure App Service
│   ├── .NET/Node.js/Python
│   └── Cost: ~$75/month
└── Database: Azure SQL
    ├── Basic tier
    └── Cost: ~$5/month

Mobile App Backend:

Mobile App Infrastructure:
├── API: Azure API Management
├── Authentication: Microsoft Entra ID B2C
├── Push Notifications: Azure Notification Hubs
└── Data: Azure Cosmos DB

Business Analytics:

Analytics Platform:
├── Data Lake: Azure Data Lake Storage
├── Processing: Azure Synapse Analytics
├── Visualization: Power BI
└── Machine Learning: Azure ML

Documentation Reference: Azure App Service Documentation

Software as a Service (SaaS)

What it is: Azure SaaS delivers software applications over the internet, eliminating the need to install and run applications on individual computers.

Practical Example: Enterprise productivity tools:

SaaS Solutions:
├── Microsoft 365
│   ├── Office applications
│   └── Teams collaboration
├── Dynamics 365
│   ├── CRM functionality
│   └── ERP capabilities
└── Power Platform
    ├── Power BI analytics
    └── Power Apps development

Common Use Cases:

Enterprise Productivity:

Microsoft 365 Setup:
├── Office Apps
├── Teams for Collaboration
├── SharePoint for Document Management
└── OneDrive for File Storage

Business Applications:

Dynamics 365 Implementation:
├── Sales Module
├── Customer Service
├── Finance and Operations
└── Human Resources

Development Tools:

Azure DevOps Services:
├── Source Control
├── CI/CD Pipelines
├── Project Management
└── Test Management

Documentation Reference: Microsoft 365 Documentation

Azure's Core Capabilities

Compute Services

Virtual Machines:

Common VM Scenarios:
├── Web Server: B2s VM
│   ├── 2 vCPUs
│   ├── 4 GB RAM
│   └── Cost: ~$50/month
├── Database Server: D4s v3
│   ├── 4 vCPUs
│   ├── 16 GB RAM
│   └── Cost: ~$200/month
└── Application Server: D2s v3
    ├── 2 vCPUs
    ├── 8 GB RAM
    └── Cost: ~$100/month

App Service:

Web Application Stack:
├── Frontend: Static Web Apps
│   ├── React/Angular/Vue
│   └── Cost: Free tier available
├── Backend: App Service
│   ├── .NET/Node.js/Python
│   └── Cost: ~$75/month
└── Database: Azure SQL
    ├── Basic tier
    └── Cost: ~$5/month

Azure Functions:

Serverless Architecture:
├── HTTP Trigger: API endpoints
│   └── Cost: Pay per execution
├── Timer Trigger: Scheduled tasks
│   └── Cost: Pay per execution
└── Event Trigger: Event processing
    └── Cost: Pay per execution

Virtual Machine Scale Sets (VMSS):

Scale Set Features:
├── Automatic Scaling
│   ├── Based on CPU usage
│   ├── Based on memory usage
│   └── Based on custom metrics
├── High Availability
│   ├── Multiple fault domains
│   └── Multiple update domains
├── Load Balancing
│   ├── Automatic distribution
│   └── Health monitoring
└── Cost Optimization
    ├── Spot instances
    └── Reserved instances

Availability Sets:

Availability Features:
├── Fault Domains
│   ├── Separate power sources
│   ├── Separate network switches
│   └── Separate cooling systems
├── Update Domains
│   ├── Controlled updates
│   └── Zero downtime maintenance
└── High Availability
    ├── 99.95% SLA
    └── Automatic failover

Azure Virtual Desktop:

AVD Features:
├── Virtual Desktops
│   ├── Windows 10/11
│   ├── Windows Server
│   └── Custom images
├── Remote Apps
│   ├── Individual applications
│   └── Application groups
├── Management
│   ├── Azure portal
│   ├── PowerShell
│   └── REST API
└── Security
    ├── Microsoft Entra ID integration
    ├── MFA support
    └── Conditional access

Storage Solutions

Blob Storage:

Common Use Cases:
├── Website Assets
│   ├── Images
│   ├── Videos
│   └── Cost: ~$0.02/GB
├── Backup Storage
│   ├── Database backups
│   ├── File backups
│   └── Cost: ~$0.01/GB
└── Big Data Storage
    ├── Log files
    ├── Analytics data
    └── Cost: ~$0.02/GB

File Storage:

Enterprise File Sharing:
├── User Home Directories
│   └── Cost: ~$0.06/GB
├── Application Data
│   └── Cost: ~$0.06/GB
└── Backup Storage
    └── Cost: ~$0.06/GB

Queue Storage:

Message Processing:
├── Task Queues
│   └── Cost: ~$0.0004/10,000 messages
├── Event Processing
│   └── Cost: ~$0.0004/10,000 messages
└── Load Leveling
    └── Cost: ~$0.0004/10,000 messages

Networking

Virtual Network:

Network Architecture:
├── Subnets
│   ├── Web Tier
│   ├── Application Tier
│   └── Database Tier
├── Network Security Groups
│   ├── Inbound Rules
│   └── Outbound Rules
└── Route Tables
    ├── Custom Routes
    └── System Routes

Load Balancer:

High Availability Setup:
├── Public Load Balancer
│   ├── Internet-facing
│   └── Cost: ~$20/month
└── Internal Load Balancer
    ├── Internal traffic
    └── Cost: ~$20/month

Application Gateway:

Web Application Security:
├── SSL Termination
│   └── Cost: ~$100/month
├── WAF Protection
│   └── Cost: ~$200/month
└── URL-based Routing
    └── Cost: Included

Databases

Azure SQL Database:

Database Tiers:
├── Basic
│   ├── 5 DTUs
│   └── Cost: ~$5/month
├── Standard
│   ├── 100 DTUs
│   └── Cost: ~$100/month
└── Premium
    ├── 1000 DTUs
    └── Cost: ~$1000/month

Cosmos DB:

Global Distribution:
├── Multi-region Write
│   └── Cost: ~$0.008/100 RUs
├── Single-region Write
│   └── Cost: ~$0.004/100 RUs
└── Storage
    └── Cost: ~$0.25/GB

Azure Database for MySQL:

Managed MySQL:
├── Basic Tier
│   ├── 1 vCore
│   └── Cost: ~$25/month
└── General Purpose
    ├── 4 vCores
    └── Cost: ~$200/month

Azure Database Services

Azure Database Services provide fully managed database solutions for various data types and workloads, offering high availability, scalability, and security.

Practical Example: A multi-database application:

Database Architecture:
├── SQL Database
│   ├── Relational data
│   └── Transaction processing
├── Cosmos DB
│   ├── NoSQL data
│   └── Global distribution
└── Azure Database for PostgreSQL
    ├── Open-source database
    └── Enterprise workloads

Common Use Cases:

Relational Databases:

SQL Database:
├── Business Applications
│   ├── ERP systems
│   └── CRM systems
├── Web Applications
│   ├── User data
│   └── Transaction data
└── Data Warehousing
    ├── Analytics
    └── Reporting

NoSQL Databases:

Cosmos DB:
├── IoT Applications
│   ├── Device telemetry
│   └── Time-series data
├── Mobile Applications
│   ├── User profiles
│   └── Session data
└── Real-time Analytics
    ├── Event processing
    └── Data streaming

Open-Source Databases:

PostgreSQL:
├── Web Applications
│   ├── Content management
│   └── User authentication
├── Geospatial Applications
│   ├── Location services
│   └── Mapping
└── Analytics
    ├── Data processing
    └── Business intelligence

Cloud Concepts

Cloud Deployment Models

Public Cloud

What it is: Services available to the general public, hosted in the cloud provider's data centers.

Practical Example: A startup launching a new application:

Public Cloud Setup:
├── Azure App Service for web app
├── Azure SQL Database for data
├── Azure Storage for files
└── Azure CDN for content delivery

Benefits:
- No upfront costs
- Automatic scaling
- Managed infrastructure
- Global reach
Documentation Reference: Azure Public Cloud Documentation

Private Cloud

What it is: Cloud infrastructure dedicated to a single organization, either on-premises or hosted by a third party.

Practical Example: A financial institution with strict compliance requirements:

Private Cloud Setup:
├── Dedicated hardware
├── Isolated network
├── Custom security policies
└── On-premises control

Benefits:
- Enhanced security
- Custom compliance
- Full control
- Predictable performance
Documentation Reference: Azure Stack Documentation

Hybrid Cloud

What it is: Combination of public and private clouds, allowing data and applications to be shared between them.

Practical Example: A company with existing on-premises infrastructure:

Hybrid Cloud Setup:
├── On-Premises:
│   ├── Legacy applications
│   └── Sensitive data
└── Azure:
    ├── New applications
    ├── Backup and recovery
    └── Burst capacity

Benefits:
- Flexibility
- Cost optimization
- Security control
- Workload portability
Documentation Reference: Azure Hybrid Cloud Documentation

Azure vs Other Cloud Platforms

Feature	Azure	AWS	Google Cloud
Market Share	Second	First	Third
Global Regions	60+	25+	35+
Learning Curve	Moderate	Steep	Moderate
Integration	Strong with Microsoft	Broad	Strong with Google
Pricing Model	Pay-as-you-go	Pay-as-you-go	Pay-as-you-go
Free Tier	12 months	12 months	90 days
Compliance	Extensive	Extensive	Extensive
Support	Enterprise-grade	Enterprise-grade	Enterprise-grade
Documentation	Comprehensive	Comprehensive	Comprehensive

Professional Use Cases

Enterprise Solutions:
- Hybrid cloud deployments
- Enterprise resource planning
- Business intelligence
- Disaster recovery
- Identity management
Development and DevOps:
- Application development
- Continuous integration/deployment
- Container orchestration
- Serverless computing
- Microservices architecture
Data and Analytics:
- Big data processing
- Machine learning
- Business analytics
- Data warehousing
- Real-time analytics
Internet of Things (IoT):
- Device management
- Data collection
- Real-time monitoring
- Predictive maintenance
- Edge computing
Security and Compliance:
- Identity protection
- Threat detection
- Compliance management
- Data encryption
- Access control

Cloud Computing Terms and Concepts

High Availability

Definition: System design ensuring continuous operation
Components:
- Redundancy
- Failover
- Load balancing
- Disaster recovery

Scalability

Definition: The ability of a system to handle increased load by adding resources (scaling up/out) or removing resources (scaling down/in) to maintain performance and meet demand
Types:
- Vertical scaling
- Horizontal scaling
- Auto-scaling
- Load balancing

Elasticity

Definition: Ability to scale resources up or down
Benefits:
- Cost optimization
- Performance optimization
- Resource efficiency
- Automatic scaling

Fault Tolerance

Definition: System's ability to continue operating despite failures
Components:
- Redundancy
- Replication
- Backup systems
- Failover mechanisms

Disaster Recovery

Definition: Process of recovering from system failures
Components:
- Backup strategies
- Recovery plans
- Testing procedures
- Documentation

Shared Responsibility Model

Definition: A framework that defines which security tasks are handled by the cloud provider and which tasks are handled by the customer.

Practical Example:

IaaS Responsibility Split:
├── Cloud Provider
│   ├── Physical security
│   ├── Network infrastructure
│   ├── Host infrastructure
│   └── Virtualization layer
└── Customer
    ├── Operating system
    ├── Network configuration
    ├── Application security
    └── Data security

PaaS Responsibility Split:
├── Cloud Provider
│   ├── Physical security
│   ├── Network infrastructure
│   ├── Host infrastructure
│   ├── Operating system
│   └── Runtime environment
└── Customer
    ├── Application security
    ├── Data security
    └── Access management

SaaS Responsibility Split:
├── Cloud Provider
│   ├── Physical security
│   ├── Network infrastructure
│   ├── Host infrastructure
│   ├── Operating system
│   ├── Application security
│   └── Runtime environment
└── Customer
    ├── Data security
    └── Access management

Key Points:
- Physical Security: Always managed by the cloud provider
- Data Security: Always shared responsibility
- Application Security: Varies by service model
- Network Security: Varies by service model

Cloud Services Types

Definition: Different categories of cloud services that provide specific functionality and capabilities in Azure.

Types of Cloud Services:

Compute Services:

Compute Options:
├── Virtual Machines (IaaS)
│   ├── Complete control
│   └── Full OS management
├── App Service (PaaS)
│   ├── Managed platform
│   └── Automatic scaling
├── Azure Functions (Serverless)
│   ├── Event-driven
│   └── Pay-per-execution
└── Container Services
    ├── AKS (Kubernetes)
    └── Container Instances

Storage Services:

Storage Options:
├── Blob Storage
│   ├── Unstructured data
│   └── Media files
├── File Storage
│   ├── SMB shares (Server Message Block - a network file sharing protocol that enables applications to read and write to files and request services from server programs in a computer network)
│   └── File systems
├── Queue Storage
│   ├── Message queuing
│   └── Task processing
└── Table Storage
    ├── NoSQL data
    └── Key-value pairs

Database Services:

Database Options:
├── SQL Database
│   ├── Relational data
│   └── Managed SQL
├── Cosmos DB
│   ├── NoSQL
│   └── Global distribution
├── MySQL Database
│   ├── Open-source
│   └── Managed MySQL
└── PostgreSQL
    ├── Open-source
    └── Managed PostgreSQL

Networking Services:

Network Options:
├── Virtual Network
│   ├── Private networks
│   └── Subnet management
├── Load Balancer
│   ├── Traffic distribution
│   └── High availability
├── Application Gateway
│   ├── Web traffic
│   └── SSL termination
└── VPN Gateway
    ├── Site-to-site
    └── Point-to-site

Security Services:

Security Options:
├── Microsoft Entra ID
│   ├── Identity management
│   └── Authentication
├── Key Vault
│   ├── Secrets management
│   └── Certificate storage
├── Security Center
│   ├── Threat protection
│   └── Security monitoring
└── DDoS Protection
    ├── Network security
    └── Attack prevention

Key Points:
- Each service type has specific use cases
- Services can be combined for solutions
- Different service types have different pricing models
- Services follow the shared responsibility model

Core Azure Services

Azure Compute Services

Virtual Machines (VMs)

Azure VMs are on-demand, scalable computing resources that provide complete control over the operating system and configuration. They're ideal for running applications that require full control over the computing environment.

What is a vCPU? A vCPU (virtual CPU) is a virtual processor that represents a portion of a physical CPU core. In Azure, vCPUs are the fundamental unit of compute power for virtual machines. Each vCPU:

Represents a portion of a physical CPU core
Provides consistent performance
Can be scaled up or down based on workload needs
Is billed based on usage

Key Characteristics:

Performance: Each vCPU provides consistent compute power
Isolation: Workloads are isolated between vCPUs
Scalability: Can be increased or decreased based on needs
Cost: Billed per vCPU-hour of usage

Practical Example:

VM Size Examples:
├── B2s (Budget)
│   ├── 2 vCPUs
│   ├── 4 GB RAM
│   └── Cost: ~$50/month
├── D4s v3 (General Purpose)
│   ├── 4 vCPUs
│   ├── 16 GB RAM
│   └── Cost: ~$200/month
└── H16r (High Performance)
    ├── 16 vCPUs
    ├── 448 GB RAM
    └── Cost: ~$2,000/month

Common Use Cases:

Web Servers:

Web Server VM:
├── 2-4 vCPUs
├── 4-8 GB RAM
└── Standard SSD

Database Servers:

Database Server VM:
├── 4-8 vCPUs
├── 16-32 GB RAM
└── Premium SSD

Application Servers:

App Server VM:
├── 2-4 vCPUs
├── 8-16 GB RAM
└── Standard SSD

Cost Optimization:

vCPU Cost Management:
├── Reserved Instances
│   ├── 1-year: 40% savings
│   └── 3-year: 60% savings
│   └── Commitment to use specific VM types for fixed period
│   └── Best for predictable, continuous workloads
├── Spot VMs
│   └── Up to 90% savings
│   └── No SLA, can be evicted with 30s notice
│   └── Best for batch processing and development
└── Auto-scaling
    ├── Scale out: Peak hours
    └── Scale in: Off-hours
    └── Automatically adjusts VM instances based on demand
    └── Best for applications with variable workloads

Practical Example: A company running a legacy application:

VM Configuration:
├── Windows Server 2019
│   ├── 4 vCPUs
│   ├── 16 GB RAM
│   └── 256 GB SSD
├── Network Security
│   ├── NSG Rules
│   └── Private IP
└── Monitoring
    ├── Performance Metrics
    └── Health Alerts

Common Use Cases:

Development and Testing:

Dev Environment:
├── Dev VM: B2s ($50/month)
│   ├── 2 vCPUs
│   └── 4 GB RAM
├── Test VM: B2s ($50/month)
│   ├── 2 vCPUs
│   └── 4 GB RAM
└── Staging VM: D2s v3 ($100/month)
    ├── 2 vCPUs
    └── 8 GB RAM

High-Performance Computing:

HPC Cluster:
├── Compute Nodes: H-series VMs
│   ├── 8-64 vCPUs
│   └── Up to 448 GB RAM
├── Storage: Premium SSD
│   └── Up to 32 TB
└── Network: Accelerated Networking
    └── 40 Gbps

Disaster Recovery:

DR Setup:
├── Primary Site (On-premises)
│   ├── Production Servers
│   └── Active Directory
└── Azure DR Site
    ├── Replica VMs
    └── Azure Site Recovery

Cost Optimization:

VM Cost Management:
├── Reserved Instances
│   ├── 1-year commitment: 40% savings
│   └── 3-year commitment: 60% savings
│   └── Commitment to use specific VM types for fixed period
│   └── Best for predictable, continuous workloads
├── Spot VMs
│   └── Up to 90% savings
│   └── No SLA, can be evicted with 30s notice
│   └── Best for batch processing and development
└── Auto-scaling
    ├── Scale out: Peak hours
    └── Scale in: Off-hours
    └── Automatically adjusts VM instances based on demand
    └── Best for applications with variable workloads

Documentation Reference: Azure Virtual Machines Documentation

App Service

What is it? Azure App Service is a fully managed platform for building, deploying, and scaling web apps. It supports multiple programming languages and frameworks, with built-in CI/CD and DevOps capabilities.

Practical Example: A modern web application:

App Service Architecture:
├── Frontend: Static Web Apps
│   ├── React/Angular/Vue
│   └── Cost: Free tier available
├── Backend: App Service
│   ├── .NET/Node.js/Python
│   └── Cost: ~$75/month
└── Database: Azure SQL
    ├── Basic tier
    └── Cost: ~$5/month

Common Use Cases:

Web Applications:

Web App Stack:
├── Frontend
│   ├── HTML/CSS/JavaScript
│   └── Static Web Apps
├── Backend
│   ├── API Services
│   └── App Service
└── Database
    ├── SQL Database
    └── Cosmos DB

Mobile App Backends:

Mobile Backend:
├── API Management
│   └── REST/GraphQL APIs
├── Authentication
│   └── Microsoft Entra ID B2C
├── Push Notifications
│   └── Notification Hubs
└── Data Storage
    └── Cosmos DB

Business Applications:

Business App:
├── Web Interface
│   └── ASP.NET Core
├── Business Logic
│   └── Azure Functions
├── Data Processing
│   └── Azure Logic Apps
└── Integration
    └── API Management

Scaling Options:

App Service Scaling:
├── Manual Scaling
│   ├── Choose instance size
│   └── Set instance count
├── Automatic Scaling
│   ├── CPU-based rules
│   ├── Memory-based rules
│   └── Schedule-based rules
└── Custom Scaling
    ├── Custom metrics
    └── Webhook triggers

Documentation Reference: Azure App Service Documentation

Azure Functions

Azure Functions is a serverless compute service that lets you run event-triggered code without having to explicitly provision or manage infrastructure.

Practical Example: An IoT data processing system:

Serverless Architecture:
├── HTTP Trigger
│   ├── API endpoints
│   └── Cost: Pay per execution
├── Timer Trigger
│   ├── Scheduled tasks
│   └── Cost: Pay per execution
└── Event Trigger
    ├── Event processing
    └── Cost: Pay per execution

Common Use Cases:

Event Processing:

Event Processing:
├── IoT Data Processing
│   ├── Device telemetry
│   └── Real-time analytics
├── File Processing
│   ├── Image resizing
│   └── Document conversion
└── Message Processing
    ├── Queue processing
    └── Event grid events

API Development:

API Architecture:
├── HTTP Triggers
│   ├── REST APIs
│   └── GraphQL endpoints
├── Authentication
│   └── Microsoft Entra ID
└── Integration
    ├── API Management
    └── Logic Apps

Scheduled Tasks:

Scheduled Jobs:
├── Data Cleanup
│   └── Daily maintenance
├── Report Generation
│   └── Weekly reports
└── System Maintenance
    └── Monthly tasks

Cost Optimization:

Function Cost Management:
├── Consumption Plan
│   ├── Pay per execution
│   └── Auto-scaling
├── Premium Plan
│   ├── Pre-warmed instances
│   └── VNet integration
└── Dedicated Plan
    ├── Fixed cost
    └── Full control

Documentation Reference: Azure Functions Documentation

Azure Storage Services

Blob Storage

What is it? Azure Blob Storage is a massively scalable object storage service for unstructured data, such as text or binary data.

Practical Example: A media streaming service:

Blob Storage Setup:
├── Hot Tier
│   ├── Frequently accessed files
│   └── Cost: ~$0.0184/GB
├── Cool Tier
│   ├── Infrequently accessed files
│   └── Cost: ~$0.01/GB
└── Archive Tier
    ├── Rarely accessed files
    └── Cost: ~$0.00099/GB

Common Use Cases:

Media Storage:

Media Storage:
├── Images
│   ├── Product photos
│   └── User uploads
├── Videos
│   ├── Streaming content
│   └── Training videos
└── Documents
    ├── PDFs
    └── Office files

Backup Storage:

Backup Solution:
├── Database Backups
│   ├── Daily backups
│   └── Point-in-time restore
├── File Backups
│   ├── User data
│   └── System files
└── Archive Data
    ├── Compliance data
    └── Historical records

Big Data Storage:

Data Lake:
├── Log Files
│   ├── Application logs
│   └── System logs
├── Analytics Data
│   ├── Raw data
│   └── Processed data
└── Machine Learning
    ├── Training data
    └── Model artifacts

Security Features:

Blob Security:
├── Encryption
│   ├── At rest
│   └── In transit
├── Access Control
│   ├── SAS tokens
│   └── RBAC
└── Compliance
    ├── GDPR
    └── HIPAA

Documentation Reference: Azure Blob Storage Documentation

File Storage

What is it? Azure File Storage provides fully managed file shares in the cloud that are accessible via the industry standard SMB protocol.

Practical Example: An enterprise file sharing system:

File Share Setup:
├── User Home Directories
│   ├── 100 GB per user
│   └── Cost: ~$0.06/GB
├── Application Data
│   ├── Shared configuration
│   └── Cost: ~$0.06/GB
└── Backup Storage
    ├── File backups
    └── Cost: ~$0.06/GB

Common Use Cases:

Enterprise File Sharing:

File Sharing:
├── Department Shares
│   ├── Marketing
│   ├── Finance
│   └── HR
├── Project Shares
│   ├── Active projects
│   └── Archived projects
└── User Shares
    ├── Home directories
    └── Personal storage

Application Storage:

App Storage:
├── Configuration Files
│   ├── App settings
│   └── Environment configs
├── Shared Resources
│   ├── Templates
│   └── Resources
└── Data Files
    ├── Input data
    └── Output data

Backup and Recovery:

Backup System:
├── File Backups
│   ├── Daily backups
│   └── Incremental
├── System State
│   ├── OS backups
│   └── App state
└── Disaster Recovery
    ├── Replica shares
    └── Failover

Performance Features:

File Performance:
├── Premium File Shares
│   ├── High IOPS
│   └── Low latency
├── Standard File Shares
│   ├── Balanced performance
│   └── Cost-effective
└── Azure File Sync
    ├── Hybrid caching
    └── Cloud tiering

Documentation Reference: Azure File Storage Documentation

Azure Storage

What is it? Azure Storage is a cloud storage solution for modern data storage scenarios, providing highly available, massively scalable, durable, and secure storage for a variety of data objects.

Practical Example: A media content delivery system:

Storage Architecture:
├── Blob Storage
│   ├── Media files
│   └── Static content
├── File Storage
│   ├── Shared files
│   └── User documents
└── Queue Storage
    ├── Message queue
    └── Task processing

Common Use Cases:

Data Storage:

Data Storage:
├── Unstructured Data
│   ├── Images
│   └── Videos
├── Structured Data
│   ├── Tables
│   └── Queues
└── File Systems
    ├── SMB shares
    └── NFS shares

Backup and Archive:

Backup Solution:
├── Data Backup
│   ├── Incremental
│   └── Full
├── Long-term Archive
│   ├── Cool storage
│   └── Archive storage
└── Disaster Recovery
    ├── Geo-replication
    └── Point-in-time restore

Content Delivery:

CDN Architecture:
├── Edge Locations
│   ├── Global distribution
│   └── Low latency
├── Caching
│   ├── Static content
│   └── Dynamic content
└── Security
    ├── HTTPS
    └── Token authentication

Azure Networking

Virtual Network

What is it? Azure Virtual Network (VNet) is the fundamental building block for your private network in Azure, enabling secure communication between Azure resources, the internet, and on-premises networks.

Practical Example: A multi-tier application network:

Network Architecture:
├── Subnets
│   ├── Web Tier (10.0.1.0/24)
│   ├── App Tier (10.0.2.0/24)
│   └── Data Tier (10.0.3.0/24)
├── Network Security Groups
│   ├── Inbound Rules
│   └── Outbound Rules
└── Route Tables
    ├── Custom Routes
    └── System Routes

Common Use Cases:

Multi-tier Applications:

App Network:
├── Web Tier
│   ├── Public access
│   └── Load Balancer
├── Application Tier
│   ├── Internal access
│   └── App Services
└── Database Tier
    ├── Private access
    └── SQL Servers

Hybrid Connectivity:

Hybrid Network:
├── On-premises
│   ├── VPN Gateway
│   └── ExpressRoute
├── Azure Resources
│   ├── VNet peering
│   └── Service Endpoints
└── Internet
    ├── Public IPs
    └── DNS services

Cost Considerations:

Network Costs:
├── Data Transfer
│   ├── Inbound: Free
│   └── Outbound: Tiered pricing
├── VPN Gateway
│   ├── Basic: $27/month
│   └── VpnGw2: $90/month
└── ExpressRoute
  ├── Port costs
  └── Data transfer

Documentation Reference: Azure Virtual Network Documentation

Load Balancer

What is it? Azure Load Balancer provides high availability and network performance to your applications by distributing incoming traffic across multiple VMs or services.

Practical Example: A high-availability web application:

Load Balancer Setup:
├── Public Load Balancer
│   ├── Internet-facing
│   └── Cost: ~$20/month
├── Internal Load Balancer
│   ├── Internal traffic
│   └── Cost: ~$20/month
└── Health Probes
  ├── HTTP/HTTPS
  └── TCP

Common Use Cases:

Web Applications:

Web App Load Balancing:
├── HTTP Traffic
│   ├── Port 80
│   └── Port 443
├── Session Persistence
│   ├── Source IP
│   └── Cookie-based
└── Health Monitoring
    ├── HTTP probes
    └── TCP probes

Database Clusters:

Database Load Balancing:
├── Read Replicas
│   ├── Load distribution
│   └── Failover
├── Connection Pooling
│   ├── Connection limits
│   └── Timeout settings
└── Health Checks
    ├── Query probes
    └── Connection tests

Microservices:

Microservice Load Balancing:
├── Service Discovery
│   ├── Dynamic registration
│   └── Health checks
├── Traffic Distribution
│   ├── Round-robin
│   └── Least connections
└── Circuit Breaking
    ├── Failure detection
    └── Fallback options

Performance Features:

Load Balancer Features:
├── High Availability
│   ├── Zone-redundant
│   └── Automatic failover
├── Scalability
│   ├── Millions of flows
│   └── Low latency
└── Security
    ├── DDoS protection
    └── Network security

Documentation Reference: Azure Load Balancer Documentation

Azure Databases

Azure SQL Database

What is it? Azure SQL Database is a fully managed relational database service that provides high availability, scalability, and security for your applications.
What are DTUs? DTUs (Database Transaction Units) are a bundled measure of compute, storage, and I/O resources in Azure SQL Database. They represent a simplified way to understand and purchase database performance. Each DTU includes:
- Compute resources (CPU)
- Storage
- I/O operations
- Memory
Note: While DTUs are still available, Microsoft has introduced a newer vCore-based purchasing model that provides more granular control over resources.
What are vCores? vCores (virtual cores) are a more granular way to provision and manage computing resources in Azure SQL Database. Each vCore represents a logical CPU core that can be allocated to your database. This model provides:
- More precise control over compute resources
- Better predictability of performance
- Easier matching with on-premises workloads
- More flexible scaling options
The vCore model separates compute resources from storage, allowing you to:
- Scale compute and storage independently
- Choose specific hardware generations
- Select memory configurations
- Optimize costs based on actual needs

Practical Example: An enterprise database:

vCore-based Database:
├── General Purpose
│   ├── 4 vCores
│   ├── 20 GB RAM
│   └── Cost: ~$200/month
├── Business Critical
│   ├── 8 vCores
│   ├── 40 GB RAM
│   └── Cost: ~$800/month
└── Hyperscale
    ├── Auto-scaling vCores
    ├── Unlimited storage
    └── Cost: Based on usage

Common Use Cases:

Web Applications:

Web App Database:
├── User Data
│   ├── Profiles
│   └── Preferences
├── Application Data
│   ├── Products
│   └── Orders
└── System Data
    ├── Logs
    └── Metrics

Business Applications:

Business Database:
├── Customer Data
│   ├── CRM
│   └── Analytics
├── Financial Data
│   ├── Transactions
│   └── Reports
└── Operational Data
    ├── Inventory
    └── Supply chain

Analytics:

Analytics Database:
├── Data Warehouse
│   ├── Historical data
│   └── Aggregations
├── Real-time Analytics
│   ├── Stream processing
│   └── Dashboards
└── Machine Learning
    ├── Training data
    └── Predictions

Security Features:

SQL Security:
├── Authentication
│   ├── Microsoft Entra ID
│   └── SQL Auth
├── Encryption
│   ├── At rest
│   └── In transit
└── Compliance
    ├── GDPR
    └── HIPAA

Documentation Reference: Azure SQL Database Documentation

Cosmos DB

What is it? Azure Cosmos DB is a globally distributed, multi-model database service that provides low latency, high availability, and automatic scaling.
What are RUs? RUs (Request Units) are the currency of throughput in Azure Cosmos DB. They represent the system resources (CPU, memory, and I/O) required to perform database operations. Each operation (read, write, query) consumes a certain number of RUs based on its complexity. For example:
- A simple point read of a 1 KB item: ~1 RU
- A complex query across multiple partitions: ~100+ RUs
- A write operation: ~5-10 RUs
RUs are provisioned per second, and you only pay for the RUs you provision. This allows you to scale your database's throughput independently of storage.

Practical Example: A global gaming platform:

Cosmos DB Setup:
├── Multi-region Write
│   └── Cost: ~$0.008/100 RUs
├── Single-region Write
│   └── Cost: ~$0.004/100 RUs
└── Storage
    └── Cost: ~$0.25/GB

Common Use Cases:

Global Applications:

Global App:
├── User Data
│   ├── Profiles
│   └── Preferences
├── Game Data
│   ├── Scores
│   └── Achievements
└── Social Features
    ├── Friends
    └── Messages

IoT Solutions:

IoT Platform:
├── Device Data
│   ├── Telemetry
│   └── Status
├── Analytics
│   ├── Real-time
│   └── Historical
└── Management
    ├── Configuration
    └── Updates

Real-time Analytics:

Analytics Platform:
├── Data Ingestion
│   ├── Stream processing
│   └── Batch processing
├── Data Storage
│   ├── Time series
│   └── Metrics
└── Data Access
    ├── Queries
    └── APIs

Performance Features:

Cosmos DB Features:
├── Global Distribution
│   ├── Multi-region
│   └── Low latency
├── Scalability
│   ├── Automatic
│   └── Unlimited
└── Consistency
    ├── Multiple levels
    └── Tunable

Documentation Reference: Azure Cosmos DB Documentation

Azure Management and Deployment Tools

Azure Portal

What is it? A web-based, unified console for managing Azure resources with a graphical user interface.

Key Features:

Portal Capabilities:
├── Resource Management
│   ├── Create resources
│   ├── Monitor resources
│   └── Configure settings
├── Dashboard
│   ├── Custom views
│   └── Resource monitoring
├── Access Control
│   ├── Role-based access
│   ├── User management
│   └── Security settings
├── Service Management
│   ├── Azure Service Health
│   ├── Support
│   └── Service monitoring
├── Cost Management
│   ├── Billing
│   ├── Cost analysis
│   └── Budget alerts
└── Development Tools
    ├── Cloud Shell
    │   ├── Bash
    │   └── PowerShell
    ├── Resource Explorer
    ├── API Management
    └── Marketplace
        ├── Solutions
        └── Templates

Azure Arc

What is it? Azure Arc is a hybrid and multi-cloud management service that extends Azure's management capabilities to any infrastructure, including on-premises, multi-cloud, and edge environments.

Practical Example: A hybrid enterprise setup:

Azure Arc Implementation:
├── Server Management
│   ├── Windows Servers
│   │   ├── On-premises
│   │   └── Other clouds
│   ├── Linux Servers
│   │   ├── On-premises
│   │   └── Other clouds
│   └── Management Features
│       ├── Inventory
│       ├── Updates
│       └── Monitoring
├── Kubernetes Management
│   ├── Cluster Management
│   │   ├── Multi-cluster
│   │   └── Multi-cloud
│   ├── GitOps
│   │   ├── Configuration
│   │   └── Deployment
│   └── Monitoring
│       ├── Container insights
│       └── Health checks
├── Data Services
│   ├── SQL Server
│   │   ├── On-premises
│   │   └── Other clouds
│   ├── PostgreSQL
│   │   ├── On-premises
│   │   └── Other clouds
│   └── Management
│       ├── Updates
│       └── Monitoring
└── Security & Compliance
    ├── Security Center
    │   ├── Threat protection
    │   └── Security posture
    ├── Policy Management
    │   ├── Policy enforcement
    │   └── Compliance checks
    └── Access Control
        ├── RBAC
        └── Authentication

Key Features:

Arc Capabilities:
├── Unified Management
│   ├── Single control plane
│   ├── Consistent experience
│   └── Centralized monitoring
├── Resource Management
│   ├── Inventory tracking
│   ├── Configuration
│   └── Updates
├── Security
│   ├── Threat protection
│   ├── Compliance
│   └── Access control
└── DevOps
    ├── GitOps
    ├── CI/CD
    └── Automation

Use Cases:

Common Scenarios:
├── Hybrid Cloud
│   ├── On-premises extension
│   └── Multi-cloud management
├── Edge Computing
│   ├── IoT devices
│   └── Remote locations
├── Disaster Recovery
│   ├── Backup management
│   └── Failover
└── Compliance
    ├── Policy enforcement
    └── Security management

Benefits:

Arc Benefits:
├── Management
│   ├── Unified control
│   ├── Consistent tools
│   └── Simplified operations
├── Security
│   ├── Centralized security
│   ├── Compliance
│   └── Threat protection
├── Cost
│   ├── Resource optimization
│   ├── License management
│   └── Operational efficiency
└── Innovation
    ├── Modern applications
    ├── Cloud-native
    └── DevOps practices

Documentation Reference: Azure Arc Documentation

Azure CLI

What is it? A command-line tool for managing Azure resources across platforms (Windows, macOS, Linux).

Key Features:

CLI Capabilities:
├── Resource Management
│   ├── Create resources
│   ├── Update resources
│   └── Delete resources
├── Automation
│   ├── Scripts
│   └── Batch operations
├── Query
│   ├── JMESPath
│   └── Output formats
└── Extensions
    ├── Additional commands
    └── Custom modules

Azure PowerShell

What is it? A PowerShell module for managing Azure resources with PowerShell commands.

Key Features:

PowerShell Features:
├── Resource Management
│   ├── Azure resources
│   ├── Resource groups
│   └── Subscriptions
├── Automation
│   ├── Scripts
│   └── Workflows
├── Integration
│   ├── Windows tools
│   └── Other services
└── Modules
    ├── Core modules
    └── Service modules

Azure Resource Manager (ARM)

What is it? A deployment and management service for Azure resources that enables infrastructure as code.

Key Features:

ARM Features:
├── Templates
│   ├── JSON format
│   ├── Bicep format
│   └── Template specs
├── Deployment
│   ├── Incremental
│   ├── Complete
│   └── What-if
├── Management
│   ├── Resource groups
│   ├── Tags
│   └── Locks
└── Security
    ├── RBAC
    └── Managed identities

Azure DevOps

What is it? A set of development tools for planning, developing, testing, and deploying applications.

Key Features:

DevOps Tools:
├── Azure Repos
│   ├── Git repositories
│   └── Code management
├── Azure Pipelines
│   ├── CI/CD
│   └── Build/Release
├── Azure Boards
│   ├── Work items
│   └── Agile tools
├── Azure Test Plans
│   ├── Test management
│   └── Manual testing
└── Azure Artifacts
    ├── Package management
    └── Dependency management

Infrastructure as Code (IaC)

What is it?

Infrastructure as Code (IaC) is the practice of managing and provisioning computing infrastructure through machine-readable definition files, rather than physical hardware configuration or interactive configuration tools.

Key Components:

IaC Components:
├── ARM Templates
│   ├── JSON Templates
│   │   ├── Resource definitions
│   │   ├── Parameters
│   │   └── Variables
│   ├── Bicep
│   │   ├── Simplified syntax
│   │   ├── Type safety
│   │   └── Modular design
│   ├── Template Specs
│       ├── Version control
│       └── Reusable templates
├── Terraform
│   ├── HCL syntax
│   ├── State management
│   ├── Provider support
│   └── Module system
├── Azure CLI
│   ├── Command-line automation
│   ├── Scripting support
│   └── Cross-platform
└── Azure PowerShell
    ├── PowerShell automation
    ├── Azure modules
    └── Windows integration

Best Practices:

IaC Best Practices:
├── Version Control
│   ├── Source control
│   ├── Change tracking
│   └── Collaboration
├── Modularity
│   ├── Reusable components
│   ├── Template linking
│   └── Parameterization
├── Testing
│   ├── Template validation
│   ├── What-if operations
│   └── Integration testing
├── Security
│   ├── Secret management
│   ├── RBAC integration
│   └── Policy enforcement
└── Documentation
    ├── Code comments
    ├── Usage examples
    └── Architecture diagrams

Common Use Cases:

IaC Scenarios:
├── Environment Management
│   ├── Development
│   ├── Testing
│   └── Production
├── Resource Deployment
│   ├── Virtual machines
│   ├── Networks
│   └── Storage
├── Application Deployment
│   ├── Web applications
│   ├── Containers
│   └── Serverless
└── Compliance
    ├── Policy enforcement
    ├── Security standards
    └── Audit trails

Benefits:

IaC Benefits:
├── Consistency
│   ├── Standardized deployments
│   ├── Reduced errors
│   └── Repeatable processes
├── Efficiency
│   ├── Automated deployments
│   ├── Faster provisioning
│   └── Resource optimization
├── Collaboration
│   ├── Team coordination
│   ├── Code review
│   └── Knowledge sharing
└── Compliance
    ├── Audit trails
    ├── Policy enforcement
    └── Security standards

Documentation Reference: Azure Resource Manager Documentation Bicep Documentation

Best Practices

Tool Selection:

Tool Selection Guide:
├── Interactive Management
│   ├── Azure Portal
│   └── Cloud Shell
├── Automation
│   ├── Azure CLI
│   ├── PowerShell
│   └── ARM Templates
├── Development
│   ├── Azure DevOps
│   └── VS Code
└── Monitoring
    ├── Azure Monitor
    └── Log Analytics

Deployment Strategies:

Deployment Approaches:
├── Infrastructure as Code
│   ├── ARM Templates
│   ├── Bicep
│   └── Terraform
├── CI/CD Pipelines
│   ├── Azure Pipelines
│   └── GitHub Actions
├── Manual Deployment
│   ├── Portal
│   └── CLI/PowerShell
└── Hybrid Approaches
    ├── Combined methods
    └── Phased deployment

Documentation Reference: Azure Management Tools Documentation

Azure Monitoring Tools

Azure Monitor

What is it? A comprehensive solution for collecting, analyzing, and acting on telemetry from cloud and on-premises environments.

Key Components:

Monitor Components:
├── Metrics
│   ├── Platform metrics
│   ├── Custom metrics
│   └── Metric alerts
├── Logs
│   ├── Log Analytics
│   ├── Log queries
│   └── Log alerts
├── Application Insights
│   ├── Application monitoring
│   ├── Performance tracking
│   └── User behavior
└── Insights
    ├── Container Insights
    ├── VM Insights
    └── Network Insights

Application Insights

What is it? An extensible Application Performance Management (APM) service for web developers on multiple platforms.

Key Features:

App Insights Features:
├── Performance Monitoring
│   ├── Response times
│   ├── Failure rates
│   └── Server metrics
├── Usage Analytics
│   ├── User behavior
│   ├── Page views
│   └── User flows
├── Diagnostics
│   ├── Exception tracking
│   ├── Log correlation
│   └── Debug snapshots
└── Availability
    ├── Web tests
    ├── Synthetic monitoring
    └── Uptime tracking

Log Analytics

What is it? A tool for collecting and analyzing log data from various sources to help identify patterns and troubleshoot issues.

Key Features:

Log Analytics Features:
├── Data Collection
│   ├── Log sources
│   ├── Custom logs
│   └── Data retention
├── Query Language
│   ├── KQL syntax
│   ├── Advanced queries
│   └── Query optimization
├── Visualization
│   ├── Custom dashboards
│   ├── Workbooks
│   └── Reports
└── Integration
    ├── Power BI
    ├── API access
    └── Export options

Network Watcher

What is it? A network monitoring and diagnostics service that provides tools to monitor, diagnose, and gain insights into network performance.

Key Features:

Network Watcher Features:
├── Connection Monitor
│   ├── End-to-end monitoring
│   ├── Latency tracking
│   └── Connection issues
├── Packet Capture
│   ├── Deep packet inspection
│   ├── Traffic analysis
│   └── Security monitoring
├── IP Flow Verify
│   ├── Traffic validation
│   ├── Security rules
│   └── Routing issues
└── Network Diagnostics
    ├── VPN diagnostics
    ├── NSG diagnostics
    └── Route diagnostics

Azure Service Health

What is it? A personalized view of the health of Azure services and regions that affect your resources.

Key Features:

Azure Service Health Features:
├── Service Issues
│   ├── Active issues
│   ├── Planned maintenance
│   └── Health advisories
├── Resource Health
│   ├── Resource status
│   ├── Health history
│   └── Recommendations
├── Health Alerts
│   ├── Alert configuration
│   ├── Notification rules
│   └── Action groups
└── History
    ├── Past incidents
    ├── Maintenance records
    └── Health trends

Azure Advisor

What is it? Azure Advisor is a personalized cloud consultant that helps you follow best practices to optimize your Azure deployments. It analyzes your resource configuration and usage telemetry and then recommends solutions that can help you improve the cost effectiveness, performance, reliability, and security of your Azure resources.

Key Features:

Advisor Features:
├── Cost Optimization
│   ├── Right-size recommendations
│   ├── Reserved instance suggestions
│   ├── Unused resource identification
│   └── Cost-saving opportunities
├── Performance
│   ├── Response time improvements
│   ├── Throughput optimization
│   ├── Resource utilization
│   └── Performance bottlenecks
├── High Availability
│   ├── Fault tolerance
│   ├── Disaster recovery
│   ├── Load balancing
│   └── Redundancy checks
├── Security
│   ├── Security best practices
│   ├── Vulnerability assessment
│   ├── Network security
│   └── Data protection
└── Operational Excellence
    ├── Resource organization
    ├── Tagging strategy
    ├── Management efficiency
    └── Best practices

Recommendation Types:

Advisor Recommendations:
├── Cost Recommendations
│   ├── VM right-sizing
│   ├── Reserved instances
│   ├── Unused resources
│   └── Storage optimization
├── Performance Recommendations
│   ├── Database optimization
│   ├── Network latency
│   ├── Application performance
│   └── Resource scaling
├── High Availability Recommendations
│   ├── Multi-region deployment
│   ├── Load balancer setup
│   ├── Backup configuration
│   └── Disaster recovery
└── Security Recommendations
    ├── Security updates
    ├── Network security groups
    ├── Data encryption
    └── Access control

Best Practices:

Advisor Best Practices:
├── Regular Review
│   ├── Weekly checks
│   ├── Monthly audits
│   └── Action tracking
├── Implementation
│   ├── Priority-based actions
│   ├── Impact assessment
│   └── Change management
├── Monitoring
│   ├── Recommendation status
│   ├── Implementation progress
│   └── Cost savings tracking
└── Integration
    ├── Azure Monitor
    ├── Security Center
    └── Cost Management

Use Cases:

Common Scenarios:
├── Cost Management
│   ├── Budget optimization
│   ├── Resource efficiency
│   └── Cost reduction
├── Performance Optimization
│   ├── Application tuning
│   ├── Resource scaling
│   └── Latency reduction
├── Security Enhancement
│   ├── Security hardening
│   ├── Compliance checks
│   └── Threat protection
└── Reliability Improvement
    ├── High availability
    ├── Disaster recovery
    └── Business continuity

Benefits:

Advisor Benefits:
├── Cost Savings
│   ├── Resource optimization
│   ├── Unused resource cleanup
│   └── Reserved instance savings
├── Performance Improvement
│   ├── Faster response times
│   ├── Better resource utilization
│   └── Optimized configurations
├── Enhanced Security
│   ├── Security best practices
│   ├── Vulnerability reduction
│   └── Compliance adherence
└── Better Reliability
    ├── Improved availability
    ├── Better disaster recovery
    └── Enhanced resilience

Documentation Reference: Azure Advisor Documentation

Best Practices for Monitoring

Monitoring Strategy:

Monitoring Approach:
├── Data Collection
│   ├── Critical metrics
│   ├── Log sources
│   └── Custom data
├── Alert Configuration
│   ├── Thresholds
│   ├── Severity levels
│   └── Notification rules
├── Dashboard Design
│   ├── Key metrics
│   ├── Resource views
│   └── Custom visualizations
└── Cost Management
    ├── Data retention
    ├── Query optimization
    └── Resource limits

Common Scenarios:

Monitoring Scenarios:
├── Application Monitoring
│   ├── Performance tracking
│   ├── Error detection
│   └── User experience
├── Infrastructure Monitoring
│   ├── Resource health
│   ├── Capacity planning
│   └── Cost tracking
├── Security Monitoring
│   ├── Threat detection
│   ├── Access patterns
│   └── Compliance tracking
└── Business Monitoring
    ├── Usage patterns
    ├── Cost analysis
    └── Performance metrics

Documentation Reference: Azure Monitoring Documentation

Security, Privacy, and Compliance

Azure Security Features

Azure Security Center

What is it? Azure Security Center is a unified security management system that strengthens the security posture of your data centers and provides advanced threat protection across your hybrid workloads in the cloud.

Practical Example: A financial institution's security setup:

Security Center Implementation:
├── Security Monitoring
│   ├── Real-time alerts
│   └── Security scores
├── Threat Protection
│   ├── Advanced analytics
│   └── Machine learning
├── Security Recommendations
│   ├── Best practices
│   └── Compliance checks
└── Compliance Monitoring
    ├── Regulatory standards
    └── Custom policies

Common Use Cases:

Enterprise Security:

Enterprise Security:
├── Network Security
│   ├── Firewall rules
│   └── NSG monitoring
├── Identity Security
│   ├── Access control
│   └── Authentication
├── Data Security
│   ├── Encryption
│   └── Data protection
└── Application Security
    ├── Code scanning
    └── Vulnerability assessment

Compliance Management:

Compliance Setup:
├── Regulatory Compliance
│   ├── GDPR
│   ├── HIPAA
│   └── PCI DSS
├── Policy Management
│   ├── Custom policies
│   └── Policy enforcement
└── Audit Logging
    ├── Activity logs
    └── Security logs

Threat Protection:

Threat Protection:
├── Advanced Threat Detection
│   ├── Behavioral analytics
│   └── Anomaly detection
├── Security Alerts
│   ├── Real-time alerts
│   └── Incident response
└── Security Analytics
    ├── Threat intelligence
    └── Security insights

Cost Considerations:

Security Center Pricing:
├── Free Tier
│   ├── Basic security features
│   └── Limited monitoring
├── Standard Tier
│   ├── Advanced security
│   └── Full monitoring
└── Enterprise Tier
    ├── Advanced threat protection
    └── Custom solutions

Documentation Reference: Azure Security Center Documentation

Azure Key Vault

What is it? Azure Key Vault is a cloud service for securely storing and accessing secrets, keys, and certificates.

Practical Example: An enterprise security setup:

Key Vault Architecture:
├── Secret Storage
│   ├── Database credentials
│   └── API secrets
├── Key Management
│   ├── Encryption keys
│   └── Signing keys
└── Certificate Management
    ├── SSL/TLS certificates
    └── Code signing certificates

Microsoft Entra ID

What is it? Microsoft Entra ID (formerly Azure Active Directory) is Microsoft's cloud-based identity and access management service, helping your employees sign in and access resources.

Practical Example: An enterprise identity solution:

Microsoft Entra ID Setup:
├── User Management
│   ├── User accounts
│   └── Groups
├── Authentication
│   ├── MFA
│   └── SSO
└── Access Control
    ├── RBAC
    └── Conditional Access

Common Use Cases:

Enterprise Identity:

Enterprise Identity:
├── User Management
│   ├── Directory sync
│   └── Self-service
├── Application Access
│   ├── SSO
│   └── App registration
└── Security
    ├── MFA
    └── Risk policies

B2B Collaboration:

B2B Setup:
├── Partner Access
│   ├── Guest accounts
│   └── Collaboration
├── External Apps
│   ├── Partner apps
│   └── Integration
└── Security
    ├── Access control
    └── Monitoring

Privacy and Compliance

Compliance Offerings

Azure's compliance offerings help organizations meet regulatory requirements and industry standards through comprehensive compliance controls and certifications.

Practical Example: A healthcare organization's compliance setup:

Compliance Framework:
├── Industry Standards
│   ├── HIPAA
│   └── HITRUST
├── Regional Compliance
│   ├── GDPR
│   └── CCPA
└── Security Standards
    ├── ISO 27001
    └── SOC 2

Common Standards:

Healthcare:

Healthcare Compliance:
├── HIPAA
│   ├── Data protection
│   └── Privacy controls
├── HITRUST
│   ├── Security controls
│   └── Risk management
└── Medical Standards
    ├── FDA compliance
    └── Medical data

Financial Services:

Financial Compliance:
├── PCI DSS
│   ├── Payment security
│   └── Data protection
├── Financial Standards
│   ├── Banking regulations
│   └── Financial reporting
└── Security Controls
    ├── Access control
    └── Audit logging

Government:

Government Compliance:
├── FedRAMP
│   ├── Security controls
│   └── Risk management
├── DoD Compliance
│   ├── Security standards
│   └── Data protection
└── State Standards
    ├── State regulations
    └── Local compliance

Compliance Tools:

Compliance Management:
├── Compliance Manager
│   ├── Risk assessment
│   └── Compliance tracking
├── Policy Management
│   ├── Policy creation
│   └── Enforcement
└── Audit Support
    ├── Documentation
    └── Evidence collection

Documentation Reference: Azure Compliance Documentation

Azure Governance and Compliance

Azure Governance

What is it? Azure Governance provides tools and services to help organizations maintain control over their Azure resources, ensure compliance, and manage costs effectively.

Practical Example: An enterprise governance setup:

Governance Framework:
├── Management Groups
│   ├── Organization hierarchy
│   └── Policy inheritance
├── Subscriptions
│   ├── Billing boundaries
│   └── Access control
├── Resource Groups
│   ├── Resource organization
│   └── Lifecycle management
└── Tags
    ├── Resource tracking
    └── Cost allocation

Core Components:

Microsoft Purview:

Purview Capabilities:
├── Data Governance
│   ├── Data Catalog
│   │   ├── Data discovery
│   │   ├── Data lineage
│   │   └── Business glossary
│   ├── Data Map
│   │   ├── Data assets
│   │   ├── Relationships
│   │   └── Lineage tracking
│   ├── Data Insights
│       ├── Usage analytics
│       └── Quality metrics
├── Data Protection
│   ├── Sensitivity Labels
│   │   ├── Classification
│   │   └── Protection policies
│   ├── Data Loss Prevention
│   │   ├── Policy management
│   │   └── Incident response
│   └── Information Protection
│       ├── Encryption
│       └── Access controls
├── Compliance Management
│   ├── Compliance Manager
│   │   ├── Risk assessment
│   │   └── Compliance tracking
│   ├── Audit Logs
│   │   ├── Activity tracking
│   │   └── Compliance reports
│   └── Policy Management
│       ├── Policy creation
│       └── Enforcement
└── Integration
    ├── Azure Services
    │   ├── Synapse Analytics
    │   ├── Data Factory
    │   └── SQL Database
    ├── On-premises
    │   ├── SQL Server
    │   └── File shares
    └── Third-party
        ├── AWS
        └── Google Cloud

Azure Policy:

Policy Management:
├── Policy Definitions
│   ├── Built-in policies
│   └── Custom policies
├── Policy Assignments
│   ├── Scope definition
│   └── Parameter configuration
├── Policy Initiatives
│   ├── Policy groups
│   └── Compliance standards
└── Compliance Monitoring
    ├── Compliance reports
    └── Remediation tasks

Azure Blueprints:

Blueprint Components:
├── Resource Templates
│   ├── ARM templates
│   └── Resource definitions
├── Policy Assignments
│   ├── Compliance policies
│   └── Security policies
├── Role Assignments
│   ├── RBAC roles
│   └── Access control
├── Version Control
│   ├── Blueprint versions
│   └── Change tracking
└── Compliance
    ├── Compliance reports
    └── Remediation tasks

Resource Locks:

Lock Types:
├── CanNotDelete
│   ├── Prevents deletion
│   └── Allows modifications
└── ReadOnly
    ├── Prevents modifications
    └── Prevents deletion

Compliance Management

What is it? Azure's compliance framework helps organizations meet regulatory requirements and industry standards through comprehensive compliance controls and certifications.

Practical Example: A healthcare organization's compliance setup:

Compliance Framework:
├── Industry Standards
│   ├── HIPAA
│   └── HITRUST
├── Regional Compliance
│   ├── GDPR
│   └── CCPA
└── Security Standards
    ├── ISO 27001
    └── SOC 2

Compliance Tools:

Compliance Manager:

Compliance Features:
├── Risk Assessment
│   ├── Control mapping
│   └── Risk scoring
├── Compliance Tracking
│   ├── Progress monitoring
│   └── Evidence collection
└── Action Items
    ├── Remediation tasks
    └── Improvement plans

Service Trust Portal:

Trust Center Features:
├── Compliance Documentation
│   ├── Certifications
│   └── Audit reports
├── Security Information
│   ├── Security controls
│   └── Best practices
└── Privacy Information
    ├── Data protection
    └── Privacy controls

Cost Management and Governance

What is it? Tools and practices for managing and optimizing Azure costs while maintaining governance controls.

Practical Example: An enterprise cost management setup:

Cost Management:
├── Budget Management
│   ├── Budget creation
│   └── Alert configuration
├── Cost Analysis
│   ├── Usage tracking
│   └── Cost allocation
├── Optimization
│   ├── Resource right-sizing
│   └── Reserved instances
└── Reporting
    ├── Cost reports
    └── Usage reports

Best Practices:

Governance Best Practices:
├── Resource Organization
│   ├── Consistent naming
│   └── Tagging strategy
├── Access Control
│   ├── Least privilege
│   └── Regular review
├── Cost Management
│   ├── Budget controls
│   └── Regular optimization
└── Compliance
    ├── Regular audits
    └── Policy updates

Documentation Reference: Azure Governance Documentation

Azure Pricing and Support

Understanding Azure Pricing

Pricing Models

Azure offers various pricing models to meet different business needs, from pay-as-you-go to enterprise agreements.

Practical Example: A startup's pricing strategy:

Pricing Strategy:
├── Development
│   ├── Free tier
│   └── Pay-as-you-go
├── Production
│   ├── Reserved instances
│   └── Enterprise agreement
└── Optimization
    ├── Cost analysis
    └── Budget alerts

Pricing Calculators:

Azure Calculators:
├── Pricing Calculator
│   ├── Service Cost Estimation
│   │   ├── Compute resources
│   │   ├── Storage services
│   │   ├── Networking
│   │   └── Databases
│   ├── Cost Optimization
│   │   ├── Reserved instances
│   │   ├── Spot instances
│   │   └── Hybrid benefit
│   ├── Export Options
│       ├── PDF reports
│       └── Share estimates
└── Total Cost of Ownership (TCO) Calculator
    ├── Cloud Migration
    │   ├── Infrastructure costs
    │   ├── Operational costs
    │   └── Staff costs
    ├── Cost Comparison
    │   ├── On-premises vs Cloud
    │   ├── Current vs Future
    │   └── Different regions
    └── ROI Analysis
        ├── Cost savings
        ├── Productivity gains
        └── Business value

Common Models:

Pay-as-you-go:

Pay-as-you-go:
├── Compute
│   ├── VMs: $0.0089/hour
│   └── App Service: $0.013/hour
├── Storage
│   ├── Blob: $0.0184/GB
│   └── SQL: $5/month
└── Networking
    ├── Data transfer: $0.087/GB
    └── Load balancer: $20/month

Reserved Instances:

Reserved Instances:
├── 1-year Commitment
│   ├── 40% savings
│   └── Upfront payment
├── 3-year Commitment
│   ├── 60% savings
│   └── Upfront payment
└── Flexible Options
    ├── Instance size flexibility
    └── Region flexibility

Enterprise Agreement:

Enterprise Agreement:
├── Volume Licensing
│   ├── Discounted rates
│   └── Custom terms
├── Support Options
│   ├── 24/7 support
│   └── Technical account manager
└── Additional Benefits
    ├── Training credits
    └── Azure credits

Cost Optimization:

Cost Management:
├── Resource Optimization
│   ├── Right-sizing
│   └── Auto-scaling
├── Reserved Instances
│   ├── Instance planning
│   └── Savings analysis
└── Budget Management
    ├── Budget alerts
    └── Cost tracking

Documentation Reference: Azure Pricing Documentation

Cost Management

What is it? Azure Cost Management helps you monitor, allocate, and optimize your cloud spending.

Practical Example: An enterprise cost management setup:

Cost Management:
├── Monitoring
│   ├── Cost analysis
│   └── Budget alerts
├── Optimization
│   ├── Recommendations
│   └── Resource cleanup
└── Reporting
    ├── Cost reports
    └── Usage reports

Resource Tagging Strategy:

Tag Management:
├── Tag Categories
│   ├── Business
│   │   ├── Department
│   │   ├── Project
│   │   └── Cost Center
│   ├── Technical
│   │   ├── Environment
│   │   ├── Application
│   │   └── Version
│   ├── Operational
│       ├── Owner
│       ├── Support Team
│       └── SLA
├── Tag Implementation
│   ├── Naming Conventions
│   │   ├── Standard format
│   │   └── Required tags
│   ├── Automation
│   │   ├── Policy enforcement
│   │   └── Auto-tagging
│   └── Governance
│       ├── Tag compliance
│       └── Regular audits
└── Cost Allocation
    ├── Department Billing
    │   ├── Cost centers
    │   └── Chargeback
    ├── Project Tracking
    │   ├── Budget monitoring
    │   └── Resource usage
    └── Environment Costs
        ├── Development
        ├── Testing
        └── Production

Common Features:

Cost Analysis:

Cost Analysis:
├── Resource Costs
│   ├── By service
│   └── By resource
├── Usage Analysis
│   ├── Usage patterns
│   └── Trends
└── Cost Allocation
    ├── By department
    └── By project

Budget Management:

Budget Setup:
├── Budget Creation
│   ├── Monthly budgets
│   └── Quarterly budgets
├── Alert Configuration
│   ├── Threshold alerts
│   └── Action groups
└── Cost Tracking
    ├── Real-time monitoring
    └── Historical data

Optimization:

Cost Optimization:
├── Resource Optimization
│   ├── Right-sizing
│   └── Cleanup
├── Reserved Instances
│   ├── Planning
│   └── Purchasing
└── Usage Optimization
    ├── Auto-scaling
    └── Scheduling

Best Practices:

Cost Management Best Practices:
├── Regular Review
│   ├── Weekly analysis
│   └── Monthly reports
├── Resource Management
│   ├── Tagging strategy
│   └── Cleanup schedule
└── Optimization
    ├── Continuous monitoring
    └── Regular optimization

Documentation Reference: Azure Cost Management Documentation

Azure Support Options

Support Plans

Azure offers various support plans to meet different business needs, from Basic support to Enterprise-level assistance.

Practical Example: A growing company's support strategy:

Support Strategy:
├── Development
│   ├── Basic support
│   └── Community support
├── Production
│   ├── Standard support
│   └── Technical support
└── Enterprise
    ├── Professional support
    └── Enterprise support

Support Levels:

Basic Support:

Basic Support:
├── Features
│   ├── Community forums
│   └── Documentation
├── Response Time
│   └── Best effort
└── Cost
    └── Free

Developer Support:

Developer Support:
├── Features
│   ├── Email support
│   └── Business hours
├── Response Time
│   └── 8 hours
└── Cost
    └── $29/month

Standard Support:

Standard Support:
├── Features
│   ├── 24/7 support
│   └── Phone support
├── Response Time
│   └── 4 hours
└── Cost
    └── $100/month

Professional Direct:

Professional Direct:
├── Features
│   ├── 24/7 support
│   ├── Technical account manager
│   └── Proactive support
├── Response Time
│   └── 1 hour
└── Cost
    └── $1000/month

Support Features:

Support Features:
├── Technical Support
│   ├── Issue resolution
│   └── Best practices
├── Account Support
│   ├── Billing support
  │   └── Subscription management
└── Additional Services
    ├── Training
    └── Consulting

Documentation Reference: Azure Support Documentation

Service Level Agreements

Azure SLAs define the performance standards and availability guarantees for Azure services.

Practical Example: A high-availability application:

SLA Requirements:
├── Compute
│   ├── 99.95% uptime
│   └── Multi-region
├── Storage
│   ├── 99.99% uptime
│   └── Geo-redundant
└── Database
    ├── 99.99% uptime
    └── Automatic failover

Common SLAs:

Compute Services:

Compute SLAs:
├── Virtual Machines
│   ├── 99.95% uptime
│   └── Multi-region
├── App Service
│   ├── 99.95% uptime
│   └── Auto-scaling
└── Functions
    ├── 99.95% uptime
    └── Serverless

Storage Services:

Storage SLAs:
├── Blob Storage
│   ├── 99.99% uptime
│   └── Geo-redundant
├── File Storage
│   ├── 99.9% uptime
│   └── Zone-redundant
└── SQL Database
    ├── 99.99% uptime
    └── Automatic failover

Networking:

Network SLAs:
├── Virtual Network
│   ├── 99.9% uptime
│   └── Global reach
├── Load Balancer
│   ├── 99.99% uptime
│   └── Multi-region
└── ExpressRoute
    ├── 99.95% uptime
    └── Private connection

SLA Management:

SLA Management:
├── Monitoring
│   ├── Uptime tracking
│   └── Performance metrics
├── Reporting
│   ├── SLA reports
│   └── Compliance reports
└── Optimization
    ├── Performance tuning
    └── Architecture review

Documentation Reference: Azure SLA Documentation

Exam Preparation

AZ-900 Exam Overview

Exam Structure

What is it? The AZ-900 (Microsoft Azure Fundamentals) exam is designed to validate foundational knowledge of cloud services and how those services are provided with Microsoft Azure.

Practical Example: A typical exam preparation timeline:

Study Plan:
├── Week 1-2: Cloud Concepts
│   ├── Cloud computing fundamentals
│   └── Azure services overview
├── Week 3-4: Core Services
│   ├── Compute, storage, networking
│   └── Database services
├── Week 5-6: Security & Compliance
│   ├── Security features
│   └── Compliance standards
└── Week 7-8: Pricing & Support
    ├── Cost management
    └── Support options

Exam Details:

Exam Information:
├── Duration
│   ├── 60 minutes
│   └── 40-60 questions
├── Format
│   ├── Multiple choice
│   └── Multiple select
├── Passing Score
│   └── 700/1000 points
└── Cost
    └── $99 USD

Exam Topics

Cloud Concepts (15-20%):

Cloud Fundamentals:
├── Cloud Computing
│   ├── Benefits
│   └── Service models
├── Cloud Types
│   ├── Public
│   ├── Private
│   └── Hybrid
└── Cloud Services
    ├── IaaS
    ├── PaaS
    └── SaaS

Core Azure Services (30-35%):

Azure Services:
├── Compute
│   ├── VMs
│   ├── App Service
│   └── Functions
├── Storage
│   ├── Blob
│   ├── File
│   └── Queue
├── Networking
│   ├── VNet
│   ├── Load Balancer
│   └── VPN Gateway
└── Databases
    ├── SQL Database
    ├── Cosmos DB
    └── MySQL

Security, Privacy, and Compliance (25-30%):

Security Topics:
├── Security Features
│   ├── Security Center
│   ├── Key Vault
│   └── Microsoft Entra ID
├── Compliance
│   ├── Standards
│   └── Certifications
└── Privacy
    ├── Data protection
    └── Privacy controls

Azure Pricing and Support (20-25%):

Pricing & Support:
├── Pricing Models
│   ├── Pay-as-you-go
│   └── Reserved instances
├── Cost Management
│   ├── Tools
│   └── Optimization
└── Support Options
    ├── Plans
    └── SLAs

Study Resources

Official Resources

Microsoft's official learning resources for AZ-900 exam preparation.

Practical Example: A comprehensive study approach:

Study Resources:
├── Microsoft Learn
│   ├── Learning paths
│   └── Modules
├── Documentation
│   ├── Service docs
│   └── Best practices
├── Practice Tests
│   ├── MeasureUp
│   └── Whizlabs
└── Virtual Labs
    ├── Azure sandbox
    └── Hands-on labs

Resource Details:

Microsoft Learn:

Learning Paths:
├── Cloud Concepts
│   ├── 4 modules
│   └── 2 hours
├── Core Services
│   ├── 6 modules
│   └── 3 hours
├── Security & Compliance
│   ├── 4 modules
│   └── 2 hours
└── Pricing & Support
    ├── 3 modules
    └── 1.5 hours

Documentation:

Documentation:
├── Service Overviews
│   ├── Architecture
│   └── Use cases
├── Quickstarts
│   ├── Step-by-step
│   └── Examples
└── Best Practices
    ├── Security
    └── Performance

Practice Tests:

Test Resources:
├── Question Types
│   ├── Multiple choice
│   └── Case studies
├── Topics Covered
│   ├── All exam areas
│   └── Detailed explanations
└── Performance Tracking
    ├── Progress monitoring
    └── Weak areas

Community Resources

Additional learning resources from the Azure community.

Practical Example: Community learning approach:

Community Learning:
├── Forums
│   ├── Stack Overflow
│   └── Microsoft Q&A
├── Blogs
│   ├── Azure updates
│   └── Best practices
├── YouTube Channels
│   ├── Tutorials
│   └── Walkthroughs
└── Study Groups
    ├── Local meetups
    └── Online groups

Resource Types:

Forums:

Forum Resources:
├── Question Types
│   ├── Technical issues
│   └── Best practices
├── Community Support
│   ├── Expert answers
│   └── Real-world examples
└── Learning Resources
    ├── Tutorials
    └── Documentation

Blogs:

Blog Content:
├── Technical Articles
│   ├── Deep dives
│   └── How-tos
├── News & Updates
│   ├── Service updates
│   └── New features
└── Best Practices
    ├── Architecture
    └── Security

Video Content:

Video Resources:
├── Tutorial Series
│   ├── Step-by-step
│   └── Real projects
├── Live Sessions
│   ├── Q&A
│   └── Demos
└── Certification Prep
    ├── Exam tips
    └── Practice questions

Exam Tips

Preparation

What to do? Effective strategies for exam preparation.

Practical Example: A successful preparation approach:

Preparation Strategy:
├── Study Plan
│   ├── Daily goals
│   └── Weekly reviews
├── Practice
│   ├── Hands-on labs
│   └── Practice tests
├── Review
│   ├── Weak areas
│   └── Key concepts
└── Final Prep
    ├── Mock exams
    └── Quick review

Preparation Steps:

Study Planning:

Study Schedule:
├── Daily Activities
│   ├── 2 hours study
│   └── 1 hour practice
├── Weekly Goals
│   ├── Complete modules
│   └── Take practice tests
└── Monthly Review
    ├── Progress assessment
    └── Plan adjustment

Practice Approach:

Practice Strategy:
├── Hands-on Labs
│   ├── Service setup
│   └── Configuration
├── Practice Tests
│   ├── Topic-wise
│   └── Full length
└── Review Sessions
    ├── Wrong answers
    └── Concept review

Final Preparation:

Final Prep:
├── Mock Exams
│   ├── Timed tests
│   └── Performance analysis
├── Quick Review
│   ├── Key concepts
│   └── Formulas
└── Exam Day Prep
    ├── Rest
    └── Materials

During the Exam

What to do? Strategies for taking the exam effectively.

Practical Example: Exam day approach:

Exam Strategy:
├── Time Management
│   ├── Question timing
│   └── Review time
├── Question Approach
│   ├── Read carefully
│   └── Eliminate options
└── Review Process
    ├── Check answers
    └── Verify completion

Exam Strategies:

Time Management:

Time Strategy:
├── Question Allocation
│   ├── 1-1.5 minutes per question
│   └── 10 minutes review
├── Section Timing
│   ├── Track progress
│   └── Adjust pace
└── Review Time
    ├── Flag questions
    └── Final check

Question Approach:

Question Strategy:
├── Reading
│   ├── Full question
│   └── All options
├── Analysis
│   ├── Key points
│   └── Requirements
└── Selection
    ├── Best answer
    └── Verification

Review Process:

Review Strategy:
├── First Pass
│   ├── Quick answers
│   └── Flag difficult
├── Second Pass
│   ├── Review flagged
│   └── Verify answers
└── Final Check
    ├── Completion
    └── Time remaining

Conclusion

Key Takeaways

Essential concepts and skills gained from the AZ-900 certification.

Practical Example: Core competencies developed:

Key Skills:
├── Cloud Fundamentals
│   ├── Service models
│   └── Deployment types
├── Azure Services
│   ├── Core services
│   └── Use cases
├── Security & Compliance
│   ├── Security features
│   └── Compliance standards
└── Cost Management
    ├── Pricing models
    └── Optimization

Learning Outcomes:

Cloud Concepts:

Cloud Knowledge:
├── Service Models
│   ├── IaaS
│   ├── PaaS
│   └── SaaS
├── Deployment Types
│   ├── Public
│   ├── Private
│   └── Hybrid
└── Benefits
    ├── Cost efficiency
    └── Scalability

Azure Services:

Service Knowledge:
├── Compute
│   ├── VMs
│   └── App Service
├── Storage
│   ├── Blob
│   └── File
├── Networking
│   ├── VNet
│   └── Load Balancer
└── Databases
    ├── SQL
    └── Cosmos DB

Security & Compliance:

Security Knowledge:
├── Security Features
│   ├── Security Center
│   └── Key Vault
├── Compliance
│   ├── Standards
│   └── Certifications
└── Best Practices
    ├── Security
    └── Privacy

Next Steps

Recommended actions after completing the AZ-900 certification.

Practical Example: Career development path:

Career Path:
├── Advanced Certifications
│   ├── AZ-104
│   └── AZ-204
├── Hands-on Experience
│   ├── Projects
│   └── Labs
├── Community Involvement
│   ├── Forums
│   └── Meetups
└── Continuous Learning
    ├── Updates
    └── New features

Development Areas:

Certifications:

Certification Path:
├── Administrator
│   ├── AZ-104
│   └── AZ-303/304
├── Developer
│   ├── AZ-204
│   └── AZ-400
└── Architect
    ├── AZ-305
    └── AZ-400

Practical Experience:

Hands-on Learning:
├── Projects
│   ├── Personal
│   └── Professional
├── Labs
│   ├── Microsoft Learn
│   └── GitHub
└── Real-world
    ├── Work experience
    └── Freelance

Community Engagement:

Community Involvement:
├── Online
│   ├── Forums
│   └── Social media
├── Local
│   ├── Meetups
│   └── User groups
└── Events
    ├── Conferences
    └── Workshops

Additional Resources

Ongoing learning and support resources.

Practical Example: Resource collection:

Learning Resources:
├── Documentation
│   ├── Azure docs
│   └── Best practices
├── Training
│   ├── Courses
  │   └── Workshops
├── Community
│   ├── Forums
│   └── Blogs
└── Tools
    ├── Azure portal
    └── CLI

Resource Types:

Documentation:

Documentation:
├── Official Docs
│   ├── Service docs
│   └── Architecture
├── Best Practices
│   ├── Security
│   └── Performance
└── Reference
    ├── API docs
    └── SDK docs

Training:

Training Resources:
├── Online Courses
│   ├── Microsoft Learn
│   └── Pluralsight
├── Workshops
│   ├── Hands-on
│   └── Virtual labs
└── Certifications
    ├── Study guides
    └── Practice tests

Community:

Community Resources:
├── Forums
│   ├── Stack Overflow
│   └── Microsoft Q&A
├── Blogs
│   ├── Technical
│   └── Best practices
└── Social Media
    ├── Twitter
    └── LinkedIn

Appendices

Glossary

What is it? Comprehensive list of Azure and cloud computing terms.

Practical Example: Key terminology:

Cloud Terms:
├── Service Models
│   ├── IaaS
│   ├── PaaS
│   └── SaaS
├── Deployment Types
│   ├── Public Cloud
│   ├── Private Cloud
│   └── Hybrid Cloud
└── Azure Services
    ├── Compute
    ├── Storage
    └── Networking

Term Categories:

Cloud Computing:

Cloud Terms:
├── Basic Concepts
│   ├── Cloud computing
│   └── Virtualization
├── Service Models
│   ├── IaaS
│   ├── PaaS
│   └── SaaS
└── Deployment Models
    ├── Public
    ├── Private
    └── Hybrid

Azure Services:

Azure Terms:
├── Compute
│   ├── VM
│   └── App Service
├── Storage
│   ├── Blob
│   └── File
├── Networking
│   ├── VNet
│   └── Load Balancer
└── Security
    ├── Security Center
    └── Key Vault

Security & Compliance:

Security Terms:
├── Security
│   ├── Encryption
│   └── Authentication
├── Compliance
│   ├── Standards
│   └── Certifications
└── Privacy
    ├── Data protection
    └── Privacy controls

Reference Materials

Essential reference documents and resources.

Practical Example: Reference collection:

References:
├── Service Limits
│   ├── Compute
│   ├── Storage
│   └── Networking
├── Pricing
│   ├── Calculators
│   └── Cost estimates
├── Compliance
│   ├── Standards
│   └── Certifications
└── Security
    ├── Best practices
    └── Guidelines

Reference Types:

Service Limits:

Service Limits:
├── Compute
│   ├── VM sizes
│   └── Quotas
├── Storage
│   ├── Capacity
│   └── Performance
└── Networking
    ├── Bandwidth
    └── Connections

Pricing:

Pricing References:
├── Calculators
│   ├── TCO
│   └── Cost estimation
├── Models
│   ├── Pay-as-you-go
│   └── Reserved
└── Optimization
    ├── Best practices
    └── Tools

Compliance:

Compliance References:
├── Standards
│   ├── ISO
│   └── SOC
├── Certifications
│   ├── Industry
│   └── Regional
└── Documentation
    ├── Policies
    └── Procedures

Practice Scenarios

Real-world scenarios for hands-on practice.

Practical Example: Practice exercises:

Scenarios:
├── Basic Setup
│   ├── Resource groups
│   └── Virtual networks
├── Application Deployment
│   ├── Web apps
│   └── Databases
├── Security Implementation
│   ├── Security Center
│   └── Key Vault
└── Cost Management
    ├── Budget setup
    └── Optimization

Scenario Types:

Basic Scenarios:

Basic Exercises:
├── Resource Management
│   ├── Creation
│   └── Configuration
├── Networking
│   ├── VNet setup
│   └── Security rules
└── Storage
    ├── Account creation
    └── Data management

Advanced Scenarios:

Advanced Exercises:
├── Application Deployment
│   ├── Multi-tier
│   └── Scaling
├── Security
│   ├── Compliance
│   └── Monitoring
└── Optimization
    ├── Performance
    └── Cost

Troubleshooting:

Troubleshooting:
├── Common Issues
│   ├── Connectivity
│   └── Performance
├── Security
│   ├── Access
│   └── Compliance
└── Cost
    ├── Optimization
    └── Management

Useful Links

Essential online resources and references.

Practical Example: Resource collection:

Online Resources:
├── Documentation
│   ├── Azure docs
│   └── Best practices
├── Learning
│   ├── Microsoft Learn
│   └── Training
├── Community
│   ├── Forums
│   └── Blogs
└── Tools
    ├── Azure portal
    └── CLI

Link Categories:

Documentation:

Documentation Links:
├── Official Docs
│   ├── Service docs
│   └── Architecture
├── Best Practices
│   ├── Security
│   └── Performance
└── Reference
    ├── API docs
    └── SDK docs

Learning:

Learning Links:
├── Courses
│   ├── Microsoft Learn
│   └── Pluralsight
├── Practice
│   ├── Labs
│   └── Tests
└── Community
    ├── Forums
    └── Blogs

Tools:

Tool Links:
├── Azure Portal
│   ├── Management
│   └── Monitoring
├── CLI Tools
│   ├── Azure CLI
│   └── PowerShell
└── Development
    ├── SDKs
    └── APIs

Azure Identity, Access, and Security

Definition: Azure's comprehensive security framework that manages identities, controls access, and protects resources.

Core Components:

Zero Trust Security Model:

Zero Trust Principles:
├── Never Trust, Always Verify
│   ├── Continuous validation
│   └── Least privilege access
├── Assume Breach
│   ├── Micro-segmentation
│   └── Just-in-time access
├── Verify Explicitly
│   ├── Strong authentication
│   └── Device health checks
└── Security Controls
    ├── Identity verification
    ├── Device compliance
    └── Network security

Defense in Depth:

Defense Layers:
├── Physical Security
│   ├── Data center security
│   └── Hardware protection
├── Identity & Access
│   ├── Authentication
│   └── Authorization
├── Perimeter Security
│   ├── DDoS protection
│   └── Firewall rules
├── Network Security
│   ├── Network segmentation
│   └── Traffic filtering
├── Compute Security
│   ├── Host security
│   └── Application security
├── Application Security
│   ├── Secure coding
│   └── Input validation
└── Data Security
    ├── Encryption
    └── Data classification

Microsoft Entra ID:

Entra ID Features:
├── Identity Management
│   ├── User accounts
│   ├── Groups
│   └── Device management
├── Authentication
│   ├── Single Sign-On (SSO)
│   ├── Multi-Factor Authentication (MFA)
│   └── Passwordless authentication
├── Application Management
│   ├── App registration
│   ├── Enterprise applications
│   └── App proxy
└── Security Features
    ├── Conditional Access
    ├── Identity Protection
    └── Privileged Identity Management

Role-Based Access Control (RBAC):

RBAC Components:
├── Security Principal
│   ├── User
│   ├── Group
│   └── Service Principal
├── Role Definition
│   ├── Permissions
│   └── Scope
├── Scope
│   ├── Subscription
│   ├── Resource Group
│   └── Resource
└── Built-in Roles
    ├── Owner
    ├── Contributor
    └── Reader

Security Features:

Security Tools:
├── Microsoft Defender for Cloud
│   ├── Cloud Security Posture Management (CSPM)
│   ├── Cloud Workload Protection (CWP)
│   ├── Threat Protection
│   └── Security Recommendations
├── Microsoft Defender for Servers
│   ├── Endpoint Protection
│   └── Vulnerability Assessment
├── Microsoft Defender for Storage
│   ├── Malware Scanning
│   └── Threat Detection
├── Microsoft Defender for SQL
│   ├── Advanced Threat Protection
│   └── Vulnerability Assessment
├── Microsoft Defender for Containers
│   ├── Container Security
│   └── Kubernetes Protection
├── Azure Key Vault
│   ├── Secrets
│   ├── Keys
│   └── Certificates
├── Azure DDoS Protection
│   ├── Network protection
│   └── Attack mitigation
└── Azure Firewall
    ├── Network filtering
    └── Threat intelligence

Microsoft Defender Overview:

Defender Capabilities:
├── Unified Security
│   ├── Centralized Management
│   └── Integrated Protection
├── Advanced Protection
│   ├── AI-Powered Detection
│   └── Real-time Monitoring
└── Compliance
    ├── Built-in Standards
    └── Custom Policies

Key Points:
- Physical Security: Always managed by the cloud provider
- Data Security: Always shared responsibility
- Application Security: Varies by service model
- Network Security: Varies by service model
Exam Focus:
- Understanding Entra ID features
- RBAC implementation
- Security tools and features
- Authentication methods
- Access control policies
- Security best practices
Common Exam Questions:
1. "What is the difference between Entra ID and on-premises AD?"
2. "How does RBAC work in Azure?"
3. "What are the benefits of MFA?"
4. "How does Conditional Access enhance security?"

Microsoft Defender for Cloud

Definition: A comprehensive cloud security solution that provides unified security management and advanced threat protection across hybrid cloud workloads.

Key Components:

Defender Components:
├── Defender for Cloud
│   ├── Cloud Security Posture Management
│   └── Cloud Workload Protection
├── Defender for Servers
│   ├── Endpoint Protection
│   └── Vulnerability Assessment
├── Defender for Storage
│   ├── Malware Scanning
│   └── Threat Detection
├── Defender for SQL
│   ├── Advanced Threat Protection
│   └── Vulnerability Assessment
└── Defender for Containers
    ├── Container Security
    └── Kubernetes Protection

Core Features:

Defender Features:
├── Security Posture
│   ├── Security Score
│   └── Recommendations
├── Threat Protection
│   ├── Real-time Monitoring
│   └── Security Alerts
└── Compliance
    ├── Built-in Standards
    └── Custom Policies

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📚 Awesome Microsoft Azure AZ-900 (Microsoft Azure Fundamentals) Study Guide Book & Course

✨ This Study Guide Book & Course is unlike any Microsoft Azure AZ-900 (Microsoft Azure Fundamentals) Study Guides Books & Courses you will find online

Who this course is for

Requirements

Introduction

What is Microsoft Azure?

Brief History and Evolution of Azure

Who Uses Azure: Organizations and Professionals

Key Azure Concepts for AZ-900

Cloud Computing Fundamentals

What is Cloud Computing?

Benefits of Cloud Computing

Azure as a Cloud Platform

Understanding Azure's Service Models

Azure's Core Capabilities

Azure Database Services

Cloud Concepts

Cloud Deployment Models

Public Cloud

Private Cloud

Hybrid Cloud

Azure vs Other Cloud Platforms

Professional Use Cases

Cloud Computing Terms and Concepts

High Availability

Scalability

Elasticity

Fault Tolerance

Disaster Recovery

Shared Responsibility Model

Cloud Services Types

Core Azure Services

Azure Compute Services

Virtual Machines (VMs)

App Service

Azure Functions

Azure Storage Services

Blob Storage

File Storage

Azure Storage

Azure Networking

Virtual Network

Load Balancer

Azure Databases

Azure SQL Database

Cosmos DB

Azure Management and Deployment Tools

Azure Portal

Azure Arc

Azure CLI

Azure PowerShell

Azure Resource Manager (ARM)

Azure DevOps

Infrastructure as Code (IaC)

Best Practices

Azure Monitoring Tools

Azure Monitor

Application Insights

Log Analytics

Network Watcher

Azure Service Health

Azure Advisor

Best Practices for Monitoring

Security, Privacy, and Compliance

Azure Security Features

Azure Security Center

Azure Key Vault

Microsoft Entra ID

Privacy and Compliance

Compliance Offerings

Azure Governance and Compliance

Azure Governance

Compliance Management

Cost Management and Governance

Azure Pricing and Support

Packages