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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company streams clickstream events to an Amazon Kinesis Data Firehose delivery stream that writes the data to Amazon S3. Some events arrive with blank product_id or negative price values. A data engineer must ensure only valid records are stored and wants to keep the pipeline fully serverless with low latency. Which solution meets these requirements?

  • Configure Kinesis Data Firehose to invoke an AWS Glue ETL job for every incoming batch to remove invalid records before delivery.

  • Configure a Kinesis Data Firehose data transformation Lambda function that validates each record and returns only cleaned data to the delivery stream.

  • Use Amazon S3 Object Lambda to filter out invalid records during each PUT operation from Firehose to the S3 bucket.

  • Trigger a Lambda function from S3 PUT events to read, cleanse, and rewrite every new object to a second bucket, then delete the original object.

AWS Certified Data Engineer Associate DEA-C01
Data Operations and Support
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