AWS Certified Data Engineer Associate DEA-C01 Practice Question
An e-commerce company ingests about 2,000 JSON events per second (1 KB each) into Amazon Kinesis Data Streams. Two real-time dashboards must receive every record in under 70 ms, while a monthly reporting job replays an entire day of data. Which configuration delivers the requirements at the lowest ongoing cost?
Create a provisioned stream with two shards. Attach enhanced fan-out consumers to the two dashboards and have the reporting job poll the stream with GetRecords.
Switch the stream to on-demand capacity and give each of the three applications its own enhanced fan-out consumer.
Provision four shards and let all three applications retrieve data by polling with the GetRecords API.
Send the events to a Kinesis Data Firehose delivery stream that writes to Amazon S3, and have all applications read the objects from S3.
Two shards provide sufficient 2 MB/s ingest capacity. Enabling enhanced fan-out only for the two latency-sensitive dashboards meets the sub-70 ms delivery target and avoids the shard-level 5 TPS limit. The monthly reporting job can use the standard GetRecords API because it is infrequent and not latency-critical. Provisioned mode with the minimum shard count is less expensive than on-demand capacity or over-provisioning shards, and it avoids the extra enhanced fan-out charges that the batch consumer would add without improving performance.
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AWS Certified Data Engineer Associate DEA-C01
Data Store Management
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