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Fixed typo #7717

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Jun 6, 2024
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Fixed typo #7717

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2 changes: 1 addition & 1 deletion src/pages/[platform]/build-a-backend/data/data-modeling/secondary-index/index.mdx
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Expand Up @@ -106,7 +106,7 @@ let queriedCustomers = try await Amplify.API.query(
</InlineFilter>
<Accordion title="Review how this works under the hood with Amazon DynamoDB">

Amplify uses Amazon DynamoDB tables as the default data source for `a.model()`. For key-value databases, it is critical to model your access patterns with "secondary indexes". Use the `.index()` modifier to configure a secondary index.
Amplify uses Amazon DynamoDB tables as the default data source for `a.model()`. For key-value databases, it is critical to model your access patterns with "secondary indexes". Use the `.secondaryIndexes()` modifier to configure a secondary index.

**Amazon DynamoDB** is a key-value and document database that delivers single-digit millisecond performance at any scale but making it work for your access patterns requires a bit of forethought. DynamoDB query operations may use at most two attributes to efficiently query data. The first query argument passed to a query (the hash key) must use strict equality and the second attribute (the sort key) may use gt, ge, lt, le, eq, beginsWith, and between. DynamoDB can effectively implement a wide variety of access patterns that are powerful enough for the majority of applications.

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