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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:
289
Last Updated:
Apr 12, 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 global company currently uses Amazon Redshift to store data and Amazon Quick Suite (previously known as Amazon QuickSight) to generate reports.

A team of business analysts have varying levels of technical expertise. Some analysts lack SQL knowledge. All the analysts need to create new reports frequently. The company wants to use natural program language queries to create dashboards and reports more efficiently.

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

Options:

A.

Use Quick Suite dashboards that have zero-ETL access to Amazon Redshift.

B.

Enable Amazon Q in Quick Suite. Generate Quick Suite dashboards and reports.

C.

Integrate Tableau with Amazon Redshift to give Tableau direct access to the data.

D.

Use Quick Suite dashboards that have federated query access to Amazon Redshift.

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Question 2

A company stores customer data in an Amazon S3 bucket. The company must permanently delete all customer data that is older than 7 years.

Options:

A.

Configure an S3 Lifecycle policy to permanently delete objects that are older than 7 years.

B.

Use Amazon Athena to query the S3 bucket for objects that are older than 7 years. Configure Athena to delete the results.

C.

Configure an S3 Lifecycle policy to move objects that are older than 7 years to S3 Glacier Deep Archive.

D.

Configure an S3 Lifecycle policy to enable S3 Object Lock on all objects that are older than 7 years.

Question 3

A company’s data processing pipeline uses AWS Glue jobs and AWS Glue Data Catalog. All AWS Glue jobs must run in a custom VPC inside a private subnet. The company uses a NAT gateway to support outbound connections.

A data engineer needs to use AWS Glue to migrate data from an on-premises PostgreSQL database to Amazon S3. There is no current network connection between AWS and the on-premises environment. However, the data engineer has updated the on-premises database to allow traffic from the custom VPC.

Which solution will meet these requirements?

Options:

A.

Create a JDBC connection in AWS Glue with the database JDBC URL, username, and password.

B.

Create a Simple Authentication and Security Layer (SASL) connection in AWS Glue to the on-premises database.

C.

Create a JDBC connection in AWS Glue with a security group that allows TCP traffic to and from itself.

D.

Create a JDBC connection in AWS Glue that uses a JDBC driver stored in Amazon S3. Retrieve the database URL, username, and password from AWS Secrets Manager.