Winter Sale - Limited Time 65% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: top65certs

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:
218
Last Updated:
Dec 9, 2025
Exam Status:
Stable
Amazon Web Services Data-Engineer-Associate

Data-Engineer-Associate: AWS Certified Data Engineer Exam 2025 Study Guide Pdf and Test Engine

Are you worried about passing the Amazon Web Services Data-Engineer-Associate (AWS Certified Data Engineer - Associate (DEA-C01)) exam? Download the most recent Amazon Web Services Data-Engineer-Associate braindumps with answers that are 100% real. After downloading the Amazon Web Services Data-Engineer-Associate exam dumps training , you can receive 99 days of free updates, making this website one of the best options to save additional money. In order to help you prepare for the Amazon Web Services Data-Engineer-Associate exam questions and verified answers by IT certified experts, CertsTopics has put together a complete collection of dumps questions and answers. To help you prepare and pass the Amazon Web Services Data-Engineer-Associate exam on your first attempt, we have compiled actual exam questions and their answers. 

Our (AWS Certified Data Engineer - Associate (DEA-C01)) Study Materials are designed to meet the needs of thousands of candidates globally. A free sample of the CompTIA Data-Engineer-Associate test is available at CertsTopics. Before purchasing it, you can also see the Amazon Web Services Data-Engineer-Associate practice exam demo.

AWS Certified Data Engineer - Associate (DEA-C01) Questions and Answers

Question 1

A data engineer is launching an Amazon EMR duster. The data that the data engineer needs to load into the new cluster is currently in an Amazon S3 bucket. The data engineer needs to ensure that data is encrypted both at rest and in transit.

The data that is in the S3 bucket is encrypted by an AWS Key Management Service (AWS KMS) key. The data engineer has an Amazon S3 path that has a Privacy Enhanced Mail (PEM) file.

Which solution will meet these requirements?

Options:

A.

Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Create a second security configuration. Specify the Amazon S3 path of the PEM file for in-transit encryption. Create the EMR cluster, and attach both security configurations to the cluster.

B.

Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for local disk encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Use the security configuration during EMR cluster creation.

C.

Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Use the security configuration during EMR cluster creation.

D.

Create an Amazon EMR security configuration. Specify the appropriate AWS KMS key for at-rest encryption for the S3 bucket. Specify the Amazon S3 path of the PEM file for in-transit encryption. Create the EMR cluster, and attach the security configuration to the cluster.

Buy Now
Question 2

A company wants to migrate a data warehouse from Teradata to Amazon Redshift. Which solution will meet this requirement with the LEAST operational effort?

Options:

A.

Use AWS Database Migration Service (AWS DMS) Schema Conversion to migrate the schema. Use AWS DMS to migrate the data.

B.

Use the AWS Schema Conversion Tool (AWS SCT) to migrate the schema. Use AWS Database Migration Service (AWS DMS) to migrate the data.

C.

Use AWS Database Migration Service (AWS DMS) to migrate the data. Use automatic schema conversion.

D.

Manually export the schema definition from Teradata. Apply the schema to the Amazon Redshift database. Use AWS Database Migration Service (AWS DMS) to migrate the data.

Question 3

A data engineer has two datasets that contain sales information for multiple cities and states. One dataset is named reference, and the other dataset is named primary.

The data engineer needs a solution to determine whether a specific set of values in the city and state columns of the primary dataset exactly match the same specific values in the reference dataset. The data engineer wants to use Data Quality Definition Language (DQDL) rules in an AWS Glue Data Quality job.

Which rule will meet these requirements?

Options:

A.

DatasetMatch "reference" "city->ref_city, state->ref_state" = 1.0

B.

ReferentialIntegrity "city,state" "reference.{ref_city,ref_state}" = 1.0

C.

DatasetMatch "reference" "city->ref_city, state->ref_state" = 100

D.

ReferentialIntegrity "city,state" "reference.{ref_city,ref_state}" = 100