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

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

Two developers are working on separate application releases. The developers have created feature branches named Branch A and Branch B by using a GitHub repository's master branch as the source.

The developer for Branch A deployed code to the production system. The code for Branch B will merge into a master branch in the following week's scheduled application release.

Which command should the developer for Branch B run before the developer raises a pull request to the master branch?

Options:

git diff branchB mastergit commit -m

git pull master

git rebase master

git fetch -b master

Buy Now

Question 2

A data engineer needs to run a data transformation job whenever a user adds a file to an Amazon S3 bucket. The job will run for less than 1 minute. The job must send the output through an email message to the data engineer. The data engineer expects users to add one file every hour of the day.

Which solution will meet these requirements in the MOST operationally efficient way?

Options:

Create a small Amazon EC2 instance that polls the S3 bucket for new files. Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.

Run an Amazon Elastic Container Service (Amazon ECS) task to poll the S3 bucket for new files. Run transformation code on a schedule to generate the output. Use operating system commands to send email messages.

Create an AWS Lambda function to transform the data. Use Amazon S3 Event Notifications to invoke the Lambda function when a new object is created. Publish the output to an Amazon Simple Notification Service (Amazon SNS) topic. Subscribe the data engineer's email account to the topic.

Deploy an Amazon EMR cluster. Use EMR File System (EMRFS) to access the files in the S3 bucket. Run transformation code on a schedule to generate the output to a second S3 bucket. Create an Amazon Simple Notification Service (Amazon SNS) topic. Configure Amazon S3 Event Notifications to notify the topic when a new object is created.

Question 3

A company uses a variety of AWS and third-party data stores. The company wants to consolidate all the data into a central data warehouse to perform analytics. Users need fast response times for analytics queries.

The company uses Amazon QuickSight in direct query mode to visualize the data. Users normally run queries during a few hours each day with unpredictable spikes.

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

Options:

Use Amazon Redshift Serverless to load all the data into Amazon Redshift managed storage (RMS).

Use Amazon Athena to load all the data into Amazon S3 in Apache Parquet format.

Use Amazon Redshift provisioned clusters to load all the data into Amazon Redshift managed storage (RMS).

Use Amazon Aurora PostgreSQL to load all the data into Aurora.

Answer:

Explanation:

Problem Analysis:

The company requires a centralized data warehouse for consolidating data from various sources.

They use Amazon QuickSight in direct query mode, necessitating fast response times for analytical queries.

Users query the data intermittently, with unpredictable spikes during the day.

Operational overhead should be minimal.

Key Considerations:

The solution must support fast, SQL-based analytics.

It must handle unpredictable spikes efficiently.

Must integrate seamlessly with QuickSight for direct querying.

Minimize operational complexity and scaling concerns.

Solution Analysis:

Option A: Amazon Redshift Serverless

Redshift Serverless eliminates the need for provisioning and managing clusters.

Automatically scales compute capacity up or down based on query demand.

Reduces operational overhead by handling performance optimization.

Fully integrates with Amazon QuickSight, ensuring low-latency analytics.

Reduces costs as it charges only for usage, making it ideal for workloads with intermittent spikes.

Option B: Amazon Athena with S3 (Apache Parquet)

Athena supports querying data directly from S3 in Parquet format.

While it’s cost-effective, performance depends on the size and complexity of the data.

It is not optimized for high-speed analytics needed by QuickSight in direct query mode.

Option C: Amazon Redshift Provisioned Clusters

Requires manual cluster provisioning, scaling, and maintenance.

Higher operational overhead compared to Redshift Serverless.

Option D: Amazon Aurora PostgreSQL

Aurora is optimized for transactional databases, not data warehousing or analytics.

Does not meet the requirement for fast analytics queries.

Final Recommendation:

Amazon Redshift Serverless is the best choice for this use case because it provides fast analytics, integrates natively with QuickSight, and minimizes operational complexity while efficiently handling unpredictable spikes.

Amazon Redshift Serverless Overview

Amazon QuickSight and Redshift Integration

Athena vs. Redshift

Get Free Data-Engineer-Associate Questions and Answers

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

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

Related Amazon Web Services Exams

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

Options:

Answer:

Explanation:

Options:

Answer:

Options:

Answer:

Explanation:

CompTIA

Fortinet

Microsoft

Salesforce