CertsTopics Logo

Spring Sale 70% Discount Offer - Ends in 0d 00h 00m 00s - Coupon code: save70

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:
289
Last Updated:
May 9, 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

A hotel management company receives daily data files from each of its hotels. The company wants to upload its data to AWS. The company plans to use Amazon Athena to access the files. The company needs to protect the files from accidental deletion. The company will develop an application on its on-premises servers to automatically forward the files to a fully managed AWS ingestion service.

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

Options:

A.

Use AWS DataSync to replicate data from the on-premises servers to Amazon Elastic File System (Amazon EFS). Configure automatic backups in AWS Backup.

B.

Use the Amazon Kinesis Agent on the on-premises servers to send data to Amazon Data Firehose. Store the data in an Amazon S3 bucket that has versioning enabled.

C.

Use AWS Glue jobs to ingest data from the on-premises servers into Amazon RDS. Enable automated backups for data protection.

D.

Use a self-managed Apache Kafka agent on the on-premises servers to stream data to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Store the data in an Amazon S3 bucket with versioning enabled.

Buy Now
Question 2

A company is migrating on-premises workloads to AWS. The company wants to reduce overall operational overhead. The company also wants to explore serverless options.

The company ' s current workloads use Apache Pig, Apache Oozie, Apache Spark, Apache Hbase, and Apache Flink. The on-premises workloads process petabytes of data in seconds. The company must maintain similar or better performance after the migration to AWS.

Which extract, transform, and load (ETL) service will meet these requirements?

Options:

A.

AWS Glue

B.

Amazon EMR

C.

AWS Lambda

D.

Amazon Redshift

Question 3

A company builds a new data pipeline to process data for business intelligence reports. Users have noticed that data is missing from the reports.

A data engineer needs to add a data quality check for columns that contain null values and for referential integrity at a stage before the data is added to storage.

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

Options:

A.

Use Amazon SageMaker Data Wrangler to create a Data Quality and Insights report.

B.

Use AWS Glue ETL jobs to perform a data quality evaluation transform on the data. Use an IsComplete rule on the requested columns. Use a ReferentialIntegrity rule for each join.

C.

Use AWS Glue ETL jobs to perform a SQL transform on the data to determine whether requested columns contain null values. Use a second SQL transform to check referential integrity.

D.

Use Amazon SageMaker Data Wrangler and a custom Python transform to create custom rules to check for null values and referential integrity.

Get Free Data-Engineer-Associate Questions and Answers