AWS Certified Data Engineer Associate DEA-C01 Practice Question
An engineering team ingests sensor readings at 5 MB/s using Amazon Data Firehose, which converts JSON to Parquet and writes hourly objects to an Amazon S3 landing bucket. A recent defect required raw JSON from the last 72 hours, but those events were unavailable. The team must add a 7-day replay capability at the lowest ongoing cost and with minimal changes. Which solution meets these requirements?
Replace Firehose with Amazon Kinesis Data Streams, configure 7-day retention, and create a Firehose stream that delivers the data to the same S3 bucket.
Enable Source record backup on the existing Firehose delivery stream to store all incoming records in a separate S3 prefix, and set a lifecycle policy to delete objects older than 7 days.
Insert an Amazon SQS queue between Firehose and Amazon EMR, set the queue retention to 7 days, and configure EMR to poll the queue.
Turn on S3 object versioning for the landing bucket so older Parquet files can be recovered during reprocessing.
Amazon Data Firehose can be configured with Source record backup, which saves every untransformed record to a separate S3 prefix while still delivering converted Parquet files to the landing bucket. By adding a lifecycle rule that deletes backup objects after 7 days, the team gains replay capability at the cost of S3 storage and PUT operations only. Replacing Firehose with Kinesis Data Streams would introduce additional ingestion and retrieval charges. S3 object versioning protects only overwritten objects, not data that was never stored. Firehose does not support Amazon SQS as a delivery destination, so inserting a queue is not possible.
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AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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