AWS Certified Data Engineer Associate DEA-C01 Practice Question
An e-commerce company must ingest click-stream events at a sustained 3 MB per second with sub-second latency. The data must remain available so that several downstream applications can independently replay any record that was produced within the last 24 hours. Which AWS managed ingestion service best satisfies these requirements while minimizing operational overhead?
Deploy an Amazon MSK cluster with topic retention set to 24 hours and allow each application to subscribe to the topic.
Send events to an Amazon Kinesis Data Firehose delivery stream configured with the smallest available buffer interval.
Publish each event to an Amazon SQS standard queue and have every application poll the queue in parallel.
Create an on-demand Amazon Kinesis Data Streams stream and let each application use its own consumer to read the data.
Amazon Kinesis Data Streams provides millisecond-level put-to-get latency and, by default, retains records for 24 hours (extendable). Multiple consuming applications can independently read the same shard data, and on-demand mode removes most capacity-planning tasks, keeping operations light.
Amazon Kinesis Data Firehose is designed to deliver data to a destination like Amazon S3, not for real-time consumption by multiple applications. While newer buffering options exist to reduce batching delays, its primary mechanism involves batching for delivery, and it cannot guarantee the required sub-second put-to-get latency. Furthermore, it does not support replaying records. Amazon SQS standard queues do not allow multiple consumers to replay the same messages from a single queue. Running Amazon MSK meets the functional needs but introduces cluster management overhead, which is inconsistent with the requirement to minimize operations.
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AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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