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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:
231
Last Updated:
Feb 2, 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 wants to migrate data from an Amazon RDS for PostgreSQL DB instance in the eu-east-1 Region of an AWS account named Account_A. The company will migrate the data to an Amazon Redshift cluster in the eu-west-1 Region of an AWS account named Account_B.

Which solution will give AWS Database Migration Service (AWS DMS) the ability to replicate data between two data stores?

Options:

A.

Set up an AWS DMS replication instance in Account_B in eu-west-1.

B.

Set up an AWS DMS replication instance in Account_B in eu-east-1.

C.

Set up an AWS DMS replication instance in a new AWS account in eu-west-1

D.

Set up an AWS DMS replication instance in Account_A in eu-east-1.

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Question 2

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?

Options:

A.

Store a pointer to the custom Python scripts in the execution context object in a shared Amazon S3 bucket.

B.

Package the custom Python scripts into Lambda layers. Apply the Lambda layers to the Lambda functions.

C.

Store a pointer to the custom Python scripts in environment variables in a shared Amazon S3 bucket.

D.

Assign the same alias to each Lambda function. Call reach Lambda function by specifying the function's alias.

Question 3

A data engineer needs to create an empty copy of an existing table in Amazon Athena to perform data processing tasks. The existing table in Athena contains 1,000 rows.

Which query will meet this requirement?

Options:

A.

CREATE TABLE new_table LIKE old_table;

B.

CREATE TABLE new_table AS SELECT * FROM old_table WITH NO DATA;

C.

CREATE TABLE new_table AS SELECT * FROM old_table;

D.

CREATE TABLE new_table AS SELECT * FROM old_table WHERE 1=1;