Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

An ecommerce app logs each shopping cart change in a DynamoDB table. The solution must quickly query all changes for a single shopper in newest-to-oldest order, absorb unpredictable flash-sale traffic without capacity planning, and automatically delete items older than seven days. Which table design and configuration meet these goals with minimal operational effort?

  • Create a table with partition key shopperId and sort key changeTimestamp, add a local secondary index that reverses the timestamp order, enable TTL, and use provisioned capacity with auto scaling.

  • Combine shopperId and changeTimestamp into a single primary key attribute, add a global secondary index on shopperId, enable TTL, and keep the table in on-demand capacity mode.

  • Create a single table with partition key shopperId and sort key changeTimestamp, enable TTL on an expiration attribute set to 7 days, and run the table in on-demand capacity mode.

  • Create a table with partition key changeTimestamp and sort key shopperId, process a DynamoDB Stream with a Lambda function to delete stale items, and use provisioned capacity with auto scaling.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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