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:
Mar 16, 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 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

Buy Now
Question 2

A company saves customer data to an Amazon S3 bucket. The company uses server-side encryption with AWS KMS keys (SSE-KMS) to encrypt the bucket. The dataset includes personally identifiable information (PII) such as social security numbers and account details.

Data that is tagged as PII must be masked before the company uses customer data for analysis. Some users must have secure access to the PII data during the preprocessing phase. The company needs a low-maintenance solution to mask and secure the PII data throughout the entire engineering pipeline.

Which combination of solutions will meet these requirements? (Select TWO.)

Options:

A.

Use AWS Glue DataBrew to perform extract, transform, and load (ETL) tasks that mask the PII data before analysis.

B.

Use Amazon GuardDuty to monitor access patterns for the PII data that is used in the engineering pipeline.

C.

Configure an Amazon Made discovery job for the S3 bucket.

D.

Use AWS Identity and Access Management (IAM) to manage permissions and to control access to the PII data.

E.

Write custom scripts in an application to mask the PII data and to control access.

Question 3

A company uses AWS Glue ETL pipelines to process data. The company uses Amazon Athena to analyze data in an Amazon S3 bucket.

To better understand shipping timelines, the company decides to collect and store shipping dates and delivery dates in addition to order data. The company adds a data quality check to ensure that the shipping date is later than the order date and that the delivery date is later than the shipping date. Orders that fail the quality check must be stored in a second Amazon S3 bucket.

Which solution will meet these requirements in the MOST cost-effective way?

Options:

A.

Use AWS Glue DataBrew DATEDIFF functions to create two additional columns. Validate the new columns. Write failed records to a second S3 bucket.

B.

Use Amazon Athena to query the three date columns and compare the values. Export failed records to a second S3 bucket.

C.

Use AWS Glue Data Quality to create a custom rule that validates the three date columns. Route records that fail the rule to a second S3 bucket.

D.

Use an AWS Glue crawler to populate the AWS Glue Data Catalog. Use the three date columns to create a filter.

Get Free Data-Engineer-Associate Questions and Answers