AWS Certified Data Engineer Associate DEA-C01 Practice Question

A retail company captures clickstream events in an Amazon Kinesis Data Stream. Business analysts need the events to be query-able in Amazon Redshift within one minute of being produced. The data engineering team wants the simplest solution that avoids intermediate storage and minimizes ongoing maintenance. Which approach best meets these requirements?

  • Configure an Amazon Kinesis Data Firehose delivery stream to load the data into Amazon Redshift on a 1-minute buffer interval.

  • Trigger an AWS Lambda function from the Kinesis Data Stream to batch records and insert them into Redshift via the Data API.

  • Create a materialized view in Amazon Redshift that performs streaming ingestion from the Kinesis Data Stream and enables AUTO REFRESH.

  • Build an AWS Glue streaming ETL job that reads from the Kinesis Data Stream and writes the records to Redshift through a JDBC connection.

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