AWS Certified Data Engineer Associate DEA-C01 Practice Question
An ecommerce platform writes clickstream events to an Amazon Kinesis Data Stream that currently uses provisioned capacity with 4 shards. During flash-sale campaigns, CloudWatch reports several "WriteProvisionedThroughputExceeded" alarms and producers receive ProvisionedThroughputExceededException errors. The development team cannot modify producer code and wants an AWS-native change that will permanently eliminate these throttling errors while requiring the least ongoing operational effort. What should they do?
Hash user IDs to reduce the number of distinct partition keys sent by producers.
Switch the existing stream from provisioned to on-demand capacity mode.
Increase the shard count to 8 and configure Application Auto Scaling target-tracking on the IncomingBytes metric.
Enable enhanced fan-out on the stream to increase overall throughput.
Switching the stream to on-demand capacity mode removes the fixed per-shard limits that cause ProvisionedThroughputExceededException errors. Kinesis Data Streams On-Demand automatically scales write throughput in response to traffic spikes, so producers no longer experience throttling and the operations team does not need to monitor or manually reshard the stream. Simply increasing the shard count and attaching Application Auto Scaling policies would still require monitoring and periodic resharding. Enhanced fan-out affects only consumer throughput, not write capacity. Reducing the number of partition keys or changing the partition-key algorithm would require producer modifications, which are not allowed.
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AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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