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AWS Certified Data Engineer Associate DEA-C01 Practice Question

An e-commerce company must ingest millions of clickstream events each minute with sub-second latency, maintain strict event order within each user session, and fan-out the data simultaneously to a real-time Lambda analytics function and an S3 data lake for cold storage. Which solution is the MOST cost-effective way to meet these requirements?

  • Publish each event to an Amazon SNS standard topic; subscribe one AWS Lambda function for analytics and one Amazon SQS queue that an AWS Glue job reads to write the data to Amazon S3.

  • Write events directly to an Amazon DynamoDB table using the session ID as the partition key and enable DynamoDB Streams for a Lambda function and for a Kinesis Data Firehose stream that delivers records to Amazon S3.

  • Deploy an Apache Kafka cluster on Amazon EC2; create Kafka consumer groups for a Lambda analytics function and for a connector that writes records to Amazon S3.

  • Send events to an Amazon Kinesis Data Stream partitioned by session ID; configure an enhanced-fan-out AWS Lambda consumer for analytics and a Kinesis Data Firehose delivery stream to load data into Amazon S3.

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