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Amazon Web Services Data-Engineer-Associate Exam With Confidence Using Practice Dumps

Exam Code:
Data-Engineer-Associate
Exam Name:
AWS Certified Data Engineer - Associate (DEA-C01)
Questions:
231
Last Updated:
Jan 23, 2026
Exam Status:
Stable
Amazon Web Services Data-Engineer-Associate

Data-Engineer-Associate: AWS Certified Data Engineer Exam 2025 Study Guide Pdf and Test Engine

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AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers

Question 1

A company has used an Amazon Redshift table that is named Orders for 6 months. The company performs weekly updates and deletes on the table. The table has an interleaved sort key on a column that contains AWS Regions.

The company wants to reclaim disk space so that the company will not run out of storage space. The company also wants to analyze the sort key column.

Which Amazon Redshift command will meet these requirements?

Options:

A.

VACUUM FULL Orders

B.

VACUUM DELETE ONLY Orders

C.

VACUUM REINDEX Orders

D.

VACUUM SORT ONLY Orders

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Question 2

A company loads transaction data for each day into Amazon Redshift tables at the end of each day. The company wants to have the ability to track which tables have been loaded and which tables still need to be loaded.

A data engineer wants to store the load statuses of Redshift tables in an Amazon DynamoDB table. The data engineer creates an AWS Lambda function to publish the details of the load statuses to DynamoDB.

How should the data engineer invoke the Lambda function to write load statuses to the DynamoDB table?

Options:

A.

Use a second Lambda function to invoke the first Lambda function based on Amazon CloudWatch events.

B.

Use the Amazon Redshift Data API to publish an event to Amazon EventBridqe. Configure an EventBridge rule to invoke the Lambda function.

C.

Use the Amazon Redshift Data API to publish a message to an Amazon Simple Queue Service (Amazon SQS) queue. Configure the SQS queue to invoke the Lambda function.

D.

Use a second Lambda function to invoke the first Lambda function based on AWS CloudTrail events.

Question 3

A company needs to automate data workflows from multiple data sources to run both on schedules and in response to events from Amazon EventBridge. The data sources are Amazon RDS and Amazon S3. The company needs a single data pipeline that can be invoked both by scheduled events and near real-time EventBridge events.

Which solution will meet these requirements with the LEAST operational overhead?

Options:

A.

Create an AWS Glue workflow. Use EventBridge to integrate the events and schedules.

B.

Create an Amazon Managed Workflow for Apache Airflow (Amazon MWAA) workflow that uses a directed acyclic graph (DAG). Use EventBridge to integrate the events and schedules.

C.

Create an AWS Step Functions state machine. Integrate the state machine with AWS Glue ETL jobs and EventBridge to orchestrate the pipeline based on events and schedules.

D.

Create Amazon EMR Serverless jobs that are invoked by AWS Lambda functions. Use EventBridge events and schedules to orchestrate the EMR jobs.