AWS EXAM GUIDE

AWS Certified Data Engineer - AssociateDEA-C01Exam Guide

An Associate exam covering data ingestion and transformation, data stores, pipeline operations, data quality, security, and governance.

Associate · AvailableInformation verified 2026-08-24

English questions for this exam are not yet available. Practice links open the Japanese version.

Exam overview

Exam duration130 minutesOfficial exam questions65 questionsExam priceUSD 150Certification validity3 years
Exam code
DEA-C01
Level
Associate
Exam status
Available
Intended candidate
Data engineers with the equivalent of 2–3 years in data engineering and 1–2 years of hands-on AWS experience.
AWS-recommended knowledge and experience
The equivalent of 2–3 years in data engineering and 1–2 years hands-on with AWS
Question formats
Multiple choice and multiple response
Languages
English, Japanese, Korean, and Simplified Chinese
Testing options
Pearson VUE testing center or online proctored exam
Certification validity
Three years from the date earned; see AWS recertification guidance for renewal options

Who this exam is for

  • People building batch and streaming data pipelines on AWS
  • People designing and operating data lakes, warehouses, and catalogs
  • People responsible for data quality, monitoring, access control, and governance

These learning profiles are organized from the AWS intended-candidate and recommended-experience guidance.

Official exam domains

A concise rendering of the domains, weights, and task statements in the official exam guide.
Domain 1

Data Ingestion and Transformation

34%

Designs batch and streaming ingestion, transformation, and orchestration.

Key tasks

  • Perform data ingestion
  • Transform and process data
  • Orchestrate data pipelines
  • Apply programming concepts

Services and concepts to review

  • AWS Glue
  • Amazon Kinesis
  • Amazon MSK
  • AWS Step Functions
Practice this domain in Japanese(102 questions)
Domain 2

Data Store Management

26%

Manages data stores, models, catalogs, and lifecycles for requirements.

Key tasks

  • Choose a data store
  • Understand data cataloging
  • Manage data lifecycles
  • Design data models and schemas

Services and concepts to review

  • Amazon S3
  • Amazon Redshift
  • Amazon DynamoDB
  • AWS Glue Data Catalog
Practice this domain in Japanese(78 questions)
Domain 3

Data Operations and Support

22%

Covers process automation, analysis, monitoring, maintenance, and data quality.

Key tasks

  • Automate data processing
  • Analyze data with AWS services
  • Maintain and monitor pipelines
  • Ensure data quality

Services and concepts to review

  • Amazon CloudWatch
  • Amazon Athena
  • Amazon EMR
  • AWS Glue Data Quality
Practice this domain in Japanese(66 questions)
Domain 4

Data Security and Governance

18%

Implements authentication, authorization, encryption, masking, auditing, and privacy controls.

Key tasks

  • Apply authentication and authorization
  • Implement encryption and masking
  • Prepare audit logs
  • Understand privacy and governance

Services and concepts to review

  • AWS IAM
  • AWS KMS
  • AWS Lake Formation
  • Amazon Macie
  • AWS CloudTrail
Practice this domain in Japanese(54 questions)

Suggested study path

  1. Map the data lifecycle from ingestion through storage, transformation, and consumption
  2. Compare batch versus streaming and lakes versus warehouses by requirements
  3. Integrate monitoring, quality, authorization, and encryption across the pipeline
  4. Practice all four domains, then use a mock exam for cross-domain decisions

Relevant AWS services and concepts

Ingestion and processing

Why review these: To choose between batch, streaming, and orchestration approaches.

  • AWS Glue
  • Amazon Kinesis
  • Amazon MSK
  • Amazon EMR
  • AWS Step Functions

Storage and analytics

Why review these: To choose stores based on data shape, access, performance, and cost.

  • Amazon S3
  • Amazon Redshift
  • Amazon DynamoDB
  • Amazon Athena

Quality and governance

Why review these: To design quality, permissions, encryption, and sensitive-data discovery together.

  • AWS Glue Data Quality
  • AWS Lake Formation
  • AWS KMS
  • Amazon Macie

How this exam differs from other AWS Certifications

SAA-C03

SAA-C03 covers AWS architecture broadly; DEA-C01 focuses on implementing and operating data pipelines and stores.

Open exam guide

AIF-C01 / MLA-C01

DEA-C01 centers on data platforms and excludes model training/inference; AIF covers AI concepts and MLA covers ML implementation.

Learning with Path & Pass

Practice questions: 300 questions

  • Practice by domain
  • Quick practice
  • Review and bookmarks
  • Mock exams
  • Progressive hints
  • Immediate scoring and detailed explanations
  • On-device learning history and progress

All questions are original practice content based on public exam objectives. They are not actual, recalled, or past AWS Certification exam questions.

Frequently asked questions

QIs this an AI or machine learning exam?
A

Its main scope is data pipelines, stores, operations, quality, and security. The official guide lists ML training and inference as out of scope for the target candidate.

QMust I earn SAA-C03 first?
A

No. There is no prerequisite certification, though AWS networking, storage, and security fundamentals are useful.

QAre Path & Pass questions official AWS exam questions or past questions?
A

No. They are original practice questions based on public exam guides and primary sources, not actual or recalled AWS Certification exam questions.

Official sources

Last verified:

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