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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company collects 5 MB/sec of JSON clickstream events from hundreds of browsers. The engineering team must ingest the data into Amazon S3 in near real time and be able to replay up to 24 hours of events if downstream processing fails. Operations effort must remain low. Which solution meets these requirements most cost-effectively?

  • Deploy an Amazon MSK cluster and configure Kafka Connect to continuously sink the data to S3.

  • Create an Amazon Kinesis Data Stream with 24-hour retention, provision five shards for 5 MB/sec throughput, and attach a Kinesis Data Firehose delivery stream that writes to the S3 bucket.

  • Publish the events to an Amazon SQS standard queue and invoke an AWS Lambda function that batches records and writes them to S3.

  • Send the events directly to an Amazon Kinesis Data Firehose delivery stream configured to deliver to the S3 bucket.

AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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