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Amazon Web Services AWS Certified Data Engineer - Associate (DEA-C01) Data-Engineer-Associate Question # 34 Topic 4 Discussion

Amazon Web Services AWS Certified Data Engineer - Associate (DEA-C01) Data-Engineer-Associate Question # 34 Topic 4 Discussion

Data-Engineer-Associate Exam Topic 4 Question 34 Discussion:
Question #: 34
Topic #: 4

A company needs to generate a one-time performance report by joining data that is stored in Amazon DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3. The company wants to avoid unnecessary data movement and to minimize query execution time.

Which solution will meet these requirements?


A.

Capture data from DynamoDB by using DynamoDB Streams. Migrate data from Amazon RDS by using AWS DMS. Export Amazon Redshift data. Store all data in Amazon S3. Use Redshift Spectrum to run queries.


B.

Set up an AWS Glue ETL pipeline to extract, transform, and centralize data in Amazon S3. Use Amazon Athena to run analytical queries.


C.

Deploy an Amazon EMR cluster powered by Apache Spark to ingest, process, and merge datasets from multiple sources. Run analytical workloads on the merged data.


D.

Use Amazon Athena Federated Query to perform one-time joins and analysis across DynamoDB, Amazon RDS, Amazon Redshift, and Amazon S3.


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