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AWS : DEA-C01 Exam Questions

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Mar 23,2026
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AWS Certified Data Engineer - Associate Exam Questions & Answers - Regular Updated | Pass with confidence

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About DEA-C01 Exam


Prepare for AWS Certified Data Engineer – Associate DEA-C01 and validate your practical knowledge of building, securing, automating, and optimizing modern data pipelines on AWS. Designed for data professionals and engineers, this certification proves your ability to work with AWS analytics, storage, data movement, governance, and orchestration services to support scalable data solutions.
Recommend you to use our DEA-C01 actual test practice material latest version to ensure best practices and first-attempt pass guaranteed!
— Exam Topics
Data Ingestion, Transformation & Orchestration (34%)
Data Store Design & Management (26%)
Data Operations & Support (22%)
Data Security & Governance (18%)
AWS Certified Data Engineer – Associate DEA-C01 Exam Format
— DEA-C01 Exam Format:
Exam code – DEA-C01
Exam type – Proctored (online or testing center)
Exam duration – 130 minutes
Exam length – ~65 questions (multiple-choice & multiple-response)
Passing score – 720/1000
Delivery languages – English, Japanese, Korean, Chinese (Simplified), French, German, Spanish, Italian, Portuguese (Brazil), and more
Additional study materials – Free AWS Learning Path (Ask Clearcatnet for Premium Access learning path link)
DEA-C01 Certification – FAQ

Q1: What is DEA-C01 exam questions, duration and passing score?

Level: Associate | Duration: 130 minutes | Questions: 65 | Passing Score: 700/1000
Role: Data Engineer
Key Topics: Data ingestion, transformation, orchestration, AWS Glue, Kinesis, Redshift, S3 data lake

Q2: What is the format of the AWS DEA-C01 Data Engineer Associate certification exam?

The DEA-C01 certification exam is 130 minutes long with 65 questions and a passing score of 720 out of 1000. It covers data ingestion with Kinesis and Glue, data storage with S3 and Redshift, data transformation and orchestration, and data pipeline security. The proctored associate exam features scenario-based questions requiring practical AWS data engineering pipeline design and implementation experience.

Q3: How difficult is the AWS DEA-C01 Data Engineer exam?

The DEA-C01 is an intermediate associate-level certification exam targeting data engineers building pipelines on AWS. Candidates should understand AWS Glue ETL jobs, Kinesis streaming configurations, Redshift cluster management, and Lake Formation security. Data engineers familiar with SQL and ETL concepts but new to AWS will need dedicated exam preparation to master AWS-specific data service behaviors tested in this certification.

Q4: What is the best DEA-C01 exam preparation strategy?

DEA-C01 exam preparation should involve building Glue ETL pipelines, configuring Kinesis Data Streams and Firehose, querying Redshift and Athena, and implementing Lake Formation permissions in a real AWS account. AWS Skill Builder data engineer paths are core study resources. Practice questions covering streaming versus batch ingestion decisions and pipeline optimization scenarios are critical for this certification exam.

Q5: Why are practice questions important for the DEA-C01 certification exam?

DEA-C01 practice questions present data engineering pipeline design decisions involving service selection, transformation logic, and pipeline orchestration that the actual certification exam tests. They challenge you to distinguish between Glue, EMR, and Athena approaches for specific data processing requirements. Regular practice with scenario-based questions builds the data engineering judgment this AWS associate certification exam demands.

Q6: What study resources are recommended for DEA-C01 exam preparation?

Key DEA-C01 study resources include AWS Skill Builder Data Engineer learning paths, the AWS Glue, Kinesis, and Redshift documentation, AWS Lake Formation guides, and hands-on pipeline labs using a free-tier AWS account. Supplement with updated DEA-C01 practice questions from ClearCatNet. Prior data engineering experience with SQL, ETL tools, and big data concepts strengthens this certification exam preparation significantly.

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