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Score Higher on Verified Data-Engineer-Associate | AWS Certified Data Engineer - Associate (DEA-C01) Exam Questions with Answers

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  • Exam Name: AWS Certified Data Engineer - Associate (DEA-C01)
  • Last Update: 15-Apr-2026
  • Questions and Answers: 289
  • Single Choice: 250 Q&A's
  • Multiple Choice: 39 Q&A's

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Data-Engineer-Associate Questions and Answers

Question # 1

A company has a data warehouse in Amazon Redshift. To comply with security regulations, the company needs to log and store all user activities and connection activities for the data warehouse.

Which solution will meet these requirements?

A.

Create an Amazon S3 bucket. Enable logging for the Amazon Redshift cluster. Specify the S3 bucket in the logging configuration to store the logs.

B.

Create an Amazon Elastic File System (Amazon EFS) file system. Enable logging for the Amazon Redshift cluster. Write logs to the EFS file system.

C.

Create an Amazon Aurora MySQL database. Enable logging for the Amazon Redshift cluster. Write the logs to a table in the Aurora MySQL database.

D.

Create an Amazon Elastic Block Store (Amazon EBS) volume. Enable logging for the Amazon Redshift cluster. Write the logs to the EBS volume.

Question # 2

A company stores CSV files in an Amazon S3 bucket. A data engineer needs to process the data in the CSV files and store the processed data in a new S3 bucket.

The process needs to rename a column, remove specific columns, ignore the second row of each file, create a new column based on the values of the first row of the data, and filter the results by a numeric value of a column.

Which solution will meet these requirements with the LEAST development effort?

A.

Use AWS Glue Python jobs to read and transform the CSV files.

B.

Use an AWS Glue custom crawler to read and transform the CSV files.

C.

Use an AWS Glue workflow to build a set of jobs to crawl and transform the CSV files.

D.

Use AWS Glue DataBrew recipes to read and transform the CSV files.

Question # 3

A data engineer is building a new data pipeline that stores metadata in an Amazon DynamoDB table. The data engineer must ensure that all items that are older than a specified age are removed from the DynamoDB table daily.

Which solution will meet this requirement with the LEAST configuration effort?

A.

Enable DynamoDB TTL on the DynamoDB table. Adjust the application source code to set the TTL attribute appropriately.

B.

Create an Amazon EventBridge rule that uses a daily cron expression to trigger an AWS Lambda function to delete items that are older than the specified age.

C.

Add a lifecycle configuration to the DynamoDB table that deletes items that are older than the specified age.

D.

Create a DynamoDB stream that has an AWS Lambda function that reacts to data modifications. Configure the Lambda function to delete items that are older than the specified age.

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Amazon Web Services Data-Engineer-Associate Exam Dumps FAQs

The AWS Certified Data Engineer - Associate (DEA-C01) exam validates your ability to design, develop, and deploy data pipelines on the AWS platform. It assesses your understanding of ingesting, transforming, and storing data using various AWS services like S3, Redshift, Glue, and EMR.

There are several benefits to becoming AWS Certified Data Engineer - Associate, including:

  • Increased knowledge and credibility in building data solutions on AWS.
  • Enhanced job prospects in big data and data engineering roles requiring AWS expertise.
  • Demonstrated ability to design and manage scalable data pipelines for various use cases.
  • Stronger foundation for pursuing more advanced AWS certifications in data specialties.

There are no formal prerequisites for the exam. However, AWS recommends having 2-3 years of experience in data engineering and at least 1-2 years of hands-on experience with AWS services.

The exam covers a broad range of AWS functionalities relevant to data engineering, including:

  • Designing and implementing data pipelines using AWS services
  • Selecting appropriate data storage solutions (S3, Redshift, DynamoDB, etc.)
  • Data transformation and processing with services like Glue, EMR, and Lambda
  • Designing for scalability, fault tolerance, and cost-effectiveness
  • Data security and encryption best practices
  • Monitoring and troubleshooting data pipelines

The exam is a computer-based test consisting of multiple-choice questions with a single best answer. You will be given a specific time limit to complete the exam.

The current cost of the AWS Data Engineer - Associate exam is $150 USD.

The AWS Data Engineer - Associate certification does not have an expiration date. However, the AWS cloud platform and data engineering practices are constantly evolving, so staying updated is recommended.

The AWS Solutions Architect certification focuses on designing and deploying overall cloud architectures, while the Data Engineer certification specifically targets building and managing data pipelines on AWS.

While not mandatory, some hands-on experience with AWS services is recommended. The exam emphasizes the practical application of AWS functionalities for data engineering tasks.

AWS does not publicly disclose the passing score. However, it is generally considered to be around 70% or higher.

If you fail the exam, you will receive a notification with your score report. Analyze the report to identify areas needing improvement. You can retake the exam after a waiting period (typically 30 days) after focusing on strengthening those areas.

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