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DEA-C01 Exam Practice Questions

AWS Certified Data Engineer – Associate

DEA-C01 English PDF practice questions: 366 questions in source order, with options supported by the source format, answers and available explanations. Access covers this exam only. One-time payment; no automatic renewal.

Exam overview

For data engineers implementing ingestion, transformations, storage, operational pipelines and data governance.

Exam code
DEA-C01
Official exam / credential
AWS Certified Data Engineer – Associate
Exam format
Single-answer and multiple-response questions
Exam duration
130 minutes
Official exam questions
65 questions
Official exam languages
English, Japanese, Korean, Simplified Chinese

Official exam languages and practice-question file languages are listed separately. Confirm the exam version and available languages when booking with the provider.

Official sources: Provider reference
Information checked: 2026-10-20

Supported languages

  • English
  • Simplified Chinese
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First 20 practice questions

366 total questions

Questions follow the source order. Expand each answer to see its explanation.

Disclaimer: All questions on ExamPico are compiled from internet sources and are provided for study reference only.

Question 1

A data engineer is configuring an AWS Glue job to read data from an Amazon S3 bucket. The data engineer has set up the necessary AWS Glue connection details and an associated IAM role. However, when the data engineer attempts to run the AWS Glue job, the data engineer receives an error message that indicates that there are problems with the Amazon S3 VPC gateway endpoint.
The data engineer must resolve the error and connect the AWS Glue job to the S3 bucket.
Which solution will meet this requirement?

  1. A. Update the AWS Glue security group to allow inbound traffic from the Amazon S3 VPC gateway endpoint.
  2. B. Configure an S3 bucket policy to explicitly grant the AWS Glue job permissions to access the S3 bucket.
  3. C. Review the AWS Glue job code to ensure that the AWS Glue connection details include a fully qualified domain name.
  4. D. Verify that the VPC's route table includes inbound and outbound routes for the Amazon S3 VPC gateway endpoint.
Show answer

Answer

D

Question 2

A retail company has a customer data hub in an Amazon S3 bucket. Employees from many countries use the data hub to support company-wide analytics. A governance team must ensure that the company's data analysts can access data only for customers who are within the same country as the analysts.
Which solution will meet these requirements with the LEAST operational effort?

  1. A. Create a separate table for each country's customer data. Provide access to each analyst based on the country that the analyst serves.
  2. B. Register the S3 bucket as a data lake location in AWS Lake Formation. Use the Lake Formation row-level security features to enforce the company's access policies.
  3. C. Move the data to AWS Regions that are close to the countries where the customers are. Provide access to each analyst based on the country that the analyst serves.
  4. D. Load the data into Amazon Redshift. Create a view for each country. Create separate IAM roles for each country to provide access to data from each country. Assign the appropriate roles to the analysts.
Show answer

Answer

B

Question 3

A media company wants to improve a system that recommends media content to customer based on user behavior and preferences. To improve the recommendation system, the company needs to incorporate insights from third-party datasets into the company's existing analytics platform.
The company wants to minimize the effort and time required to incorporate third-party datasets.
Which solution will meet these requirements with the LEAST operational overhead?

  1. A. Use API calls to access and integrate third-party datasets from AWS Data Exchange.
  2. B. Use API calls to access and integrate third-party datasets from AWS DataSync.
  3. C. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from AWS CodeCommit repositories.
  4. D. Use Amazon Kinesis Data Streams to access and integrate third-party datasets from Amazon Elastic Container Registry (Amazon ECR).
Show answer and explanation

Answer

A

Explanation

"You can also discover and subscribe to new third-party data sets available through AWS Data Exchange" https://docs.aws.amazon.com/data-exchange/latest/userguide/what-is.html

Question 4

A financial company wants to implement a data mesh. The data mesh must support centralized data governance, data analysis, and data access control. The company has decided to use AWS Glue for data catalogs and extract, transform, and load (ETL) operations.
Which combination of AWS services will implement a data mesh? (Choose two.)

  1. A. Use Amazon Aurora for data storage. Use an Amazon Redshift provisioned cluster for data analysis.
  2. B. Use Amazon S3 for data storage. Use Amazon Athena for data analysis.
  3. C. Use AWS Glue DataBrew for centralized data governance and access control.
  4. D. Use Amazon RDS for data storage. Use Amazon EMR for data analysis.
  5. E. Use AWS Lake Formation for centralized data governance and access control.
Show answer and explanation

Answer

BE

Explanation

The data mesh implementation uses Amazon S3 and Athena for data storage and analysis, and AWS Lake Formation for centralized data governance and access control. When combined with AWS Glue, you can efficiently manage your data.

Question 5

A data engineer maintains custom Python scripts that perform a data formatting process that many AWS Lambda functions use. When the data engineer needs to modify the Python scripts, the data engineer must manually update all the Lambda functions.
The data engineer requires a less manual way to update the Lambda functions.
Which solution will meet this requirement?

  1. A. Store a pointer to the custom Python scripts in the execution context object in a shared Amazon S3 bucket.
  2. B. Package the custom Python scripts into Lambda layers. Apply the Lambda layers to the Lambda functions.
  3. C. Store a pointer to the custom Python scripts in environment variables in a shared Amazon S3 bucket.
  4. D. Assign the same alias to each Lambda function. Call reach Lambda function by specifying the function's alias.
Show answer and explanation

Answer

B

Explanation

Lambda layers allow you to centrally manage shared code and dependencies across multiple Lambda functions. By packaging the custom Python scripts into a Lambda layer, you can simply update the layer whenever changes are made to the scripts, and all the Lambda functions that use the layer will automatically inherit the updates. This approach reduces manual effort and ensures consistency across the functions.

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