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AWS Certified Data Engineer Associate DEA-C01 Practice Question

You are building an order-tracking microservice that must persist 5-KB JSON order events. Expected traffic is 1,000 writes/sec and 3,000 strongly consistent reads/sec, but the workload can spike to 10× that level for short periods. You want to minimize cost during off-peak hours and avoid throttling without manually adjusting throughput. Which solution best meets these requirements?

  • Send events to an Amazon Kinesis Data Stream and periodically batch-load them into Amazon S3 for querying with Athena.

  • Create a DynamoDB table in on-demand capacity mode and add a global secondary index on customerId.

  • Store events in an Amazon RDS MySQL database and add read replicas to absorb read traffic spikes.

  • Create a DynamoDB table with 10,000 WCU and 30,000 RCU in provisioned mode and enable auto scaling.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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