Top Amazon/AWS DEA-C01 Exam Questions 2025

Amazon DEA-C01 Exam: Practice Questions

AWS Certified Data Engineer – Associate (DEA-C01) is a must have certification for people who design and manage data pipelines on AWS. This certification proves you can handle real world scenarios by mastering data lifecycles, SQL queries and AWS Glue jobs.

Here’s a guide to help you prepare for associate DEA-C01 exam and pass on your first try.

DEA-C01 Exam Questions

The associate DEA-C01 exam tests your ability to build and manage data pipelines on AWS. This includes data quality, SQL queries and AWS Glue jobs to automate tasks. It validates your knowledge of AWS services like Amazon Redshift, Amazon EMR and AWS Glue which are used in industries like retail to streamline operations and reduce operational overhead.

This certification exam is for professionals already working with AWS services who want to upskill in data analysis and process optimization. By becoming an AWS Certified Data Engineer Associate you will be a go to data engineer to solve business problems.

Exam Details

To pass the AWS Certified Data Engineer – Associate (DEA-C01) exam you need to know the main topics the exam covers. Below are the exam questions main topics explained in simple terms with examples to help you prepare:

1. Data Quality and Data Lifecycles

Data quality means the information in your databases is accurate, complete and reliable.

Data lifecycles means managing data from the time it’s created to the time it’s no longer needed and the file is deleted.

Why: High quality means businesses can make good decisions when working with data. Managing data throughout its lifecycle keeps systems tidy.

Example: You work for a retail company that tracks sales. If the sales data has errors (e.g. wrong amounts or missing details) the company will make bad decisions, like ordering too much or too little stock. If the data is accurate and reliable the company will run smoothly.

What:

• How to find and fix errors in data.

• How to clean data to remove duplicates or irrelevant data.

• How to automate data cleaning and lifecycle management using AWS services like AWS Glue or Amazon S3 Lifecycle Policies.

2. SQL Queries and Programming Concepts

SQL (Structured Query Language) works with data in databases. It helps you retrieve, update or organize the data.

Programming concepts means using basic coding to automate tasks and make workflows more efficient.

Why: SQL queries let you get the information you need from large data in seconds, like total sales for a region. Programming helps you automate repetitive tasks and reduce errors.

Example: You might be asked to write a SQL query to get the total sales for a region last week from last month. Another task could be to automate the cleaning of customer feedback using a Python script you write.

What:

• How to write SQL queries to filter, group or calculate data.

• Basic programming for data transformation or setting up AWS Glue jobs.

• How to combine SQL and programming to solve real world scenarios.

3. AWS Glue Jobs and Data Pipelines

AWS Glue is a file, a tool that helps you clean, transform and move data between systems.

Data pipelines are systems that automate collecting, processing and storing data.

Why: Creating pipelines and automating tasks with AWS Glue jobs reduces manual work. This means data flows from one system to another seamlessly, saving time and effort.

Example: You work for a company that collects customer feedback from various sources like surveys, emails and social media. You can set up a data pipeline to collect all this feedback and store it in Amazon Redshift for analysis.

What:

• How to create and run AWS Glue jobs for ETL (Extract, Transform, Load) processes.

• How to build data pipelines that move data between sources and destinations.

• How to use AWS services like Amazon S3, Amazon Redshift and AWS Glue to manage and process big data.

4. Real world scenarios and Reducing Operational Overhead

Real world scenarios are practical problems you may face in your work, like speeding up a slow data process or solving a storage issue.

Operational overhead means the extra work or cost to keep systems running. Reducing it saves time and money.

Why: AWS provides tools to solve real world problems efficiently, automate tasks and reduce unnecessary work.

Example: Your team spends hours every day cleaning data and files manually. Using AWS Glue to automate this saves time and lets your team focus on higher level tasks.

What:

• How to find where AWS tools can simplify work, like automating repetitive tasks.

• How to use Amazon EMR for big data processing and AWS Glue for ETL jobs.

• How to design systems that use less resources but still perform well.

DEA-C01 Certification Exam Prep

You need a structured plan to pass the AWS Certified Data Engineer – Associate (DEA-C01) exam in first attempt. Here’s a step by step guide to help you:

1. Read the Exam Objectives

Start by reading the official objectives from AWS. These will give you an idea of what the exam will cover, such as:

• Building data pipelines efficiently.

• Using programming concepts to automate workflows.

• Managing data lifecycles and data quality.

• Optimizing AWS Glue jobs for big data.

• Reducing operational overhead with AWS services.

Tip: Focus on practical topics like automating ETL with AWS Glue and managing Amazon Redshift or Amazon EMR for real world use cases.

2. Select Good Study Materials

Your preparation depends on the study materials you choose. Select materials that have:

• Detailed study guides: These explain exam topics in simple language and have step by step instructions for AWS tools.

• Practice questions: Make sure the materials have realistic questions that match the exam format.

• Updated question pools: This ensures you study content relevant to the latest exam updates.

A resource that explains a retail company’s data pipeline in AWS Glue gives you practical examples you can apply to real world scenarios.

3. Practice with Exam Dumps

Using Amazon DEA-C01 exam dumps can help you a lot in your preparation. These dumps mimic the actual exam and have:

• Questions from latest question pool.

• Detailed answers and explanations to help you understand why an answer is correct.

• Updates to match the latest exam objectives.

Tip: Practicing regularly with good dumps helps you find your weak areas and boost your confidence.

4. Try Practice Questions

Practice questions are important to understand the different types of questions based on exam scenarios. These questions prepare you for questions like:

• Setting up data pipelines with AWS Glue.

• Writing SQL queries to analyze and transform data.

• Real world scenarios, like optimizing workflows for a retail company.

5. Download Demo

Before buying any material, download a demo to check the quality. Good vendors like Certifications Empire provide demo files so you can verify the content.

• Are the questions realistic and match the exam objectives?

• Do the answers have clear and detailed explanations?

• Does the material have real world scenarios and practical examples?

Why Practice Questions for Certifications

Practicing with exam questions is like the actual exam. You manage time and see question types. Dumps from good sources have detailed answers so you understand why an answer is correct.

For example, scenarios might require creating AWS Glue jobs to analyze data and reduce overhead for a retail company. Practicing with dumps that have real world examples prepares you for these scenarios and boost your confidence for the actual exam.