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  • Exam Name: AWS Certified Data Engineer - Associate (DEA-C01)
  • Last Update: 14-Feb-2026
  • Questions and Answers: 241
  • Single Choice: 204 Q&A's
  • Multiple Choice: 37 Q&A's

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Data-Engineer-Associate Questions and Answers

Question # 1

A company uses Amazon S3 to store semi-structured data in a transactional data lake. Some of the data files are small, but other data files are tens of terabytes.

A data engineer must perform a change data capture (CDC) operation to identify changed data from the data source. The data source sends a full snapshot as a JSON file every day and ingests the changed data into the data lake.

Which solution will capture the changed data MOST cost-effectively?

A.

Create an AWS Lambda function to identify the changes between the previous data and the current data. Configure the Lambda function to ingest the changes into the data lake.

B.

Ingest the data into Amazon RDS for MySQL. Use AWS Database Migration Service (AWS DMS) to write the changed data to the data lake.

C.

Use an open source data lake format to merge the data source with the S3 data lake to insert the new data and update the existing data.

D.

Ingest the data into an Amazon Aurora MySQL DB instance that runs Aurora Serverless. Use AWS Database Migration Service (AWS DMS) to write the changed data to the data lake.

Question # 2

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.

Question # 3

A data engineer is building a data pipeline. A large data file is uploaded to an Amazon S3 bucket once each day at unpredictable times. An AWS Glue workflow uses hundreds of workers to process the file and load the data into Amazon Redshift. The company wants to process the file as quickly as possible.

Which solution will meet these requirements?

A.

Create an on-demand AWS Glue trigger to start the workflow. Create an AWS Lambda function that runs every 15 minutes to check the S3 bucket for the daily file. Configure the function to start the AWS Glue workflow if the file is present.

B.

Create an event-based AWS Glue trigger to start the workflow. Configure Amazon S3 to log events to AWS CloudTrail. Create a rule in Amazon EventBridge to forward PutObject events to the AWS Glue trigger.

C.

Create a scheduled AWS Glue trigger to start the workflow. Create a cron job that runs the AWS Glue job every 15 minutes. Set up the AWS Glue job to check the S3 bucket for the daily file. Configure the job to stop if the file is not present.

D.

Create an on-demand AWS Glue trigger to start the workflow. Create an AWS Database Migration Service (AWS DMS) migration task. Set the DMS source as the S3 bucket. Set the target endpoint as the AWS Glue workflow.

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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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