AWS Certified Data Engineer Associate DEA-C01 Practice Question
An e-commerce company captures clickstream events in an Amazon MSK cluster. The data engineering team must persist the events to Amazon S3 in near-real time. They require a solution that has no servers to manage, scales automatically with traffic spikes, and minimizes operational effort. Which approach best meets these requirements?
Configure an Amazon MSK Connect S3 sink connector to stream the records from the MSK topic to Amazon S3.
Deploy an Auto Scaling group of EC2 instances running open-source Kafka Connect with an S3 sink connector.
Create an AWS Glue streaming ETL job that consumes the MSK topic and writes the events to Amazon S3.
Create an Amazon Kinesis Data Firehose delivery stream that uses the MSK topic as its source and delivers the records to an S3 bucket.
Amazon Kinesis Data Firehose (now Amazon Data Firehose) provides a fully managed, serverless delivery stream that can read directly from Amazon MSK topics and write objects to Amazon S3. Firehose handles scaling, buffering, and fault tolerance, so there are no connectors or worker nodes to deploy or operate. Using MSK Connect would still require configuring and monitoring Kafka Connect workers and plugins, while running Kafka Connect on EC2 or authoring an AWS Glue streaming job introduces even more infrastructure and management overhead.
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AWS Certified Data Engineer Associate DEA-C01
Data Ingestion and Transformation
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