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Amazon Web Services AWS Certified Data Engineer - Associate (DEA-C01) Data-Engineer-Associate Question # 58 Topic 6 Discussion

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Amazon Web Services AWS Certified Data Engineer - Associate (DEA-C01) Data-Engineer-Associate Question # 58 Topic 6 Discussion

Data-Engineer-Associate Exam Topic 6 Question 58 Discussion:
Question #: 58
Topic #: 6

A data engineer is building a data pipeline on AWS by using AWS Glue extract, transform, and load (ETL) jobs. The data engineer needs to process data from Amazon RDS and MongoDB, perform transformations, and load the transformed data into Amazon Redshift for analytics. The data updates must occur every hour.

Which combination of tasks will meet these requirements with the LEAST operational overhead? (Choose two.)
A.

Configure AWS Glue triggers to run the ETL jobs even/ hour.

B.

Use AWS Glue DataBrewto clean and prepare the data for analytics.

C.

Use AWS Lambda functions to schedule and run the ETL jobs even/ hour.

D.

Use AWS Glue connections to establish connectivity between the data sources and Amazon Redshift.

E.

Use the Redshift Data API to load transformed data into Amazon Redshift.

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Actual exam question for Amazon Web Services Data-Engineer-Associate exam by Quill95001 at Mar 14, 2026, 10:34:28 PM

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