Crucial Exams

AWS Certified Data Engineer Associate DEA-C01 Practice Question

A fintech startup captures tick-level trade events in an Amazon Kinesis Data Stream. Business analysts need to run near-real-time SQL queries in Amazon Redshift with end-to-end latency under 15 seconds. The team wants the simplest, most cost-effective solution and does not want to manage intermediate Amazon S3 staging or custom infrastructure. Which approach should the data engineer implement to meet these requirements?

  • Create a materialized view in Amazon Redshift that references the Kinesis stream with the KINESIS clause and enable auto-refresh for continuous ingestion.

  • Configure Amazon Kinesis Data Firehose to deliver the stream to an S3 bucket and schedule a Redshift COPY command to load the files every minute.

  • Attach an AWS Lambda function as a stream consumer that buffers events and inserts them into Amazon Redshift through the Data API.

  • Build an AWS Glue streaming job that reads from the Kinesis stream and writes batches to Amazon Redshift using JDBC.

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