CertsTopics Logo

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)
Certification:
AWS Certified Data Engineer
Vendor:
Amazon Web Services
Questions:
241
Last Updated:
Feb 11, 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

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.

Get Data-Engineer-Associate Full Access

Related Amazon Web Services Exams

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

Get Free Data-Engineer-Associate Questions and Answers
Question 1

Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis. A data engineer wants to ingest new files into Amazon Redshift in near real time when the new files arrive in the S3 bucket.

Which solution will meet these requirements?

Options:

A.

Use the query editor v2 to schedule a COPY command to load new files into Amazon Redshift.

B.

Use the zero-ETL integration between Amazon Aurora and Amazon Redshift to load new files into Amazon Redshift.

C.

Use AWS Glue job bookmarks to extract, transform, and load (ETL) load new files into Amazon Redshift.

D.

Use S3 Event Notifications to invoke an AWS Lambda function that loads new files into Amazon Redshift.

Buy Now
Question 2

A retail company needs to implement a solution to capture data updates from multiple Amazon Aurora MySQL databases. The company needs to make the updates available for analytics in near real time. The solution must be serverless and require minimal maintenance.

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

Options:

A.

Set up AWS Database Migration Service (AWS DMS) tasks that perform schema conversions for each database. Load the changes into Amazon Redshift Serverless.

B.

Use Amazon Managed Streaming for Apache Kafka (Amazon MSK) Connect with Debezium connectors to load data into Amazon Redshift Serverless.

C.

Use AWS Database Migration Service (AWS DMS) to set up binary log replication to Amazon Kinesis Data Streams. Load the data into Amazon Redshift Serverless after schema conversion.

D.

Use Aurora zero-ETL integrations with Amazon Redshift Serverless for each database to load Aurora MySQL changes in Amazon Redshift Serverless.

Question 3

An ecommerce company processes millions of orders each day. The company uses AWS Glue ETL to collect data from multiple sources, clean the data, and store the data in an Amazon S3 bucket in CSV format by using the S3 Standard storage class. The company uses the stored data to conduct daily analysis.

The company wants to optimize costs for data storage and retrieval.

Which solution will meet this requirement?

Options:

A.

Transition the data to Amazon S3 Glacier Flexible Retrieval.

B.

Transition the data from Amazon S3 to an Amazon Aurora cluster.

C.

Configure AWS Glue ETL to transform the incoming data to Apache Parquet format.

D.

Configure AWS Glue ETL to use Amazon EMR to process incoming data in parallel.

Get Free Data-Engineer-Associate Questions and Answers