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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 15, 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 uses Amazon S3 to store data and Amazon QuickSight to create visualizations.

The company has an S3 bucket in an AWS account named Hub-Account. The S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The company ' s QuickSight instance is in a separate account named BI-Account

The company updates the S3 bucket policy to grant access to the QuickSight service role. The company wants to enable cross-account access to allow QuickSight to interact with the S3 bucket.

Which combination of steps will meet this requirement? (Select TWO.)

Options:

A.

Use the existing AWS KMS key to encrypt connections from QuickSight to the S3 bucket.

B.

Add the 53 bucket as a resource that the QuickSight service role can access.

C.

Use AWS Resource Access Manager (AWS RAM) to share the S3 bucket with the Bl-Account account.

D.

Add an IAM policy to the QuickSight service role to give QuickSight access to the KMS key that encrypts the S3 bucket.

E.

Add the KMS key as a resource that the QuickSight service role can access.

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Question 2

A company analyzes data in a data lake every quarter to perform inventory assessments. A data engineer uses AWS Glue DataBrew to detect any personally identifiable information (PII) about customers within the data. The company ' s privacy policy considers some custom categories of information to be PII. However, the categories are not included in standard DataBrew data quality rules.

The data engineer needs to modify the current process to scan for the custom PII categories across multiple datasets within the data lake.

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

Options:

A.

Manually review the data for custom PII categories.

B.

Implement custom data quality rules in Data Brew. Apply the custom rules across datasets.

C.

Develop custom Python scripts to detect the custom PII categories. Call the scripts from DataBrew.

D.

Implement regex patterns to extract PII information from fields during extract transform, and load (ETL) operations into the data lake.

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.