Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

After launching a new mobile game, a company ingests 20,000 player-event records per second through Amazon Kinesis Data Streams. An in-game personalization microservice must retrieve the most recent statistics for an individual player in less than 10 ms. Events older than 24 hours will be queried ad-hoc in Amazon Athena. Which data-storage approach best meets these requirements while minimizing cost?

  • Configure Amazon Kinesis Data Firehose to deliver events directly to Amazon S3 in Parquet format and have both the microservice and analysts query the data with Amazon Athena.

  • Store each event in an Amazon DynamoDB table keyed by playerId with a 24-hour TTL; process the DynamoDB stream with AWS Lambda to batch write expired and changed items to Amazon S3 for Athena.

  • Use Amazon Kinesis Data Analytics to aggregate events and load them into an Amazon Redshift cluster; have the microservice query Redshift for personalization and analysts run reports on the same cluster.

  • Publish events to an Amazon MSK topic; have the microservice read the topic for player statistics and use MSK Connect to continuously sink the stream to Amazon S3 for Athena.

AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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