AWS Certified Data Engineer - Associate (DEA-C01) Study Guide 2026: Syllabus, Exam Topics & Study Plan -Edureify
๐Ÿ“‹ 2026 Edition  ยท  Updated November 2026

AWS Certified Data Engineer - Associate (DEA-C01) Study Guide 2026

Complete exam coverage for the AWS Certified Data Engineer - Associate (DEA-C01): syllabus, domains, key topics, study plan and practical exam preparation strategy.

65
Questions
130 min
Duration
720
Passing score
4
Domains
95%
First-attempt pass rate
47K+
Candidates prepared
4.9โ˜…
Average rating
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Data Ingestion and Transformation
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Data Store Management
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Data Operations and Support
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Data Security and Governance
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Exam at a Glance

AWS Certified Data Engineer - Associate (DEA-C01) Exam Overview

Key facts about the AWS Certified Data Engineer - Associate (DEA-C01) exam structure, format and scoring.

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aws-data-engineer-associate
Exam code
๐Ÿ“
65 questions
Total questions
โฑ
130 minutes
Duration
๐ŸŽฏ
720
Passing score
๐Ÿ“‹
4 domains
Exam domains
๐Ÿ†
Certification
Credential type
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Scoring method: Results are reported as a scaled score from 100 to 1,000 using a compensatory model, so only the overall score must reach the minimum; section-level feedback is informational. Unscored pretest items are not identified and do not count; unanswered questions are scored as incorrect with no penalty for guessing. DEA-C01 has 50 scored and 15 unscored questions and a minimum passing score of 720.. The exam may include unscored pilot questions - treat every question seriously.
Focus Areas

What should you study for the AWS Certified Data Engineer - Associate (DEA-C01) exam?

Start with the domains that make up the AWS Certified Data Engineer - Associate (DEA-C01) exam. Use the detailed syllabus below to work through the individual topics.

โš ๏ธ
Common mistake: Candidates often memorise terminology but struggle with scenario-based questions. Focus on when to use what, not just what exists.
🔐
Data Ingestion and Transformation (34%)
Ingesting batch and streaming data, transforming it, orchestrating pipelines and applying programming concepts.
🏗
Data Store Management (26%)
Choosing data stores, cataloging data, managing data lifecycle and designing data models and schema evolution.
⚡
Data Operations and Support (22%)
Automating data processing, analyzing data, maintaining and monitoring pipelines and ensuring data quality.
💰
Data Security and Governance (18%)
Applying authentication, authorization, encryption, audit logging and data privacy and governance controls.
Full Syllabus

AWS Certified Data Engineer - Associate (DEA-C01) Exam Syllabus and Topics

The AWS Certified Data Engineer - Associate (DEA-C01) exam is divided into 4 domains. Each domain covers specific skills and topics. Expand a domain to see the detailed syllabus.

Data Ingestion
Streaming ingestion with Amazon Kinesis, Amazon MSK and DynamoDB Streams
Batch ingestion with Amazon S3, AWS Glue, AWS DMS and Amazon AppFlow
Scheduling and event triggers with Amazon EventBridge
Throttling, rate limits and fan-in/fan-out
Replayability and stateful vs. stateless processing
Transformation and Processing
Choosing AWS Glue, Amazon EMR, AWS Lambda or Amazon Redshift
Format conversion such as CSV to Apache Parquet
JDBC/ODBC connections and multi-source integration
Optimizing processing cost
Troubleshooting transformation failures
Pipeline Orchestration
AWS Step Functions and Amazon MWAA
AWS Glue workflows and EventBridge
Serverless workflow design
Alerting with Amazon SNS and Amazon SQS
Resiliency and fault tolerance
Programming Concepts
Python and SQL for data pipelines
Lambda concurrency and performance tuning
Infrastructure as code with CloudFormation, CDK and AWS SAM
CI/CD and version control for pipelines
Distributed computing concepts
~22 questions
34 marks
34% of exam weight
Choosing a Data Store
Amazon Redshift, Amazon RDS and Amazon DynamoDB selection
Access patterns and cost/performance trade-offs
Redshift Spectrum, federated queries and materialized views
Apache Iceberg open table format
Vector index types (HNSW, IVF)
Data Cataloging
AWS Glue Data Catalog and Hive metastore
AWS Glue crawlers for schema discovery
Partition synchronization
Amazon SageMaker Catalog for business metadata
Data Lifecycle Management
Loading and unloading between S3 and Redshift
S3 Lifecycle policies and storage classes
S3 Versioning and DynamoDB TTL
Deleting data for legal requirements
Data Modeling and Schema Evolution
Schema design for Redshift and DynamoDB
Schema conversion with AWS SCT and DMS Schema Conversion
Partitioning, indexing and compression
Data lineage tracking
Handling schema changes
~17 questions
26 marks
26% of exam weight
Automating Data Processing
Orchestration with Amazon MWAA and Step Functions
Querying data with Amazon Athena
Data preparation with AWS Glue DataBrew and SageMaker Unified Studio
Calling AWS SDKs from code
Analyzing Data
SQL queries and views in Redshift and Athena
Visualization with Amazon QuickSight
Athena notebooks with Apache Spark
Provisioned vs. serverless trade-offs
Aggregations, rolling averages and pivoting
Monitoring and Data Quality
Amazon CloudWatch Logs and alarms
AWS CloudTrail for API tracking
Troubleshooting Glue and EMR pipelines
Data quality rules with DataBrew
Sampling and data skew
~14 questions
22 marks
22% of exam weight
Authentication and Authorization
IAM roles, policies and least privilege
AWS Secrets Manager and Parameter Store
AWS Lake Formation permissions
Role-, tag- and attribute-based access control
Redshift database users, groups and roles
Encryption and Masking
AWS KMS encryption and key policies
Cross-account encryption
Encryption in transit
Data masking and anonymization
Audit Logging, Privacy and Governance
CloudTrail Lake for centralized log queries
PII discovery with Amazon Macie
Redshift data sharing
AWS Config for configuration changes
Data sovereignty and Region restrictions
~12 questions
18 marks
18% of exam weight
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Study Plan

AWS Certified Data Engineer - Associate (DEA-C01) Structured Study Roadmap

Choose a preparation timeline based on how much time you have available. For a plan based on your actual readiness and weak domains, use the personalised Edureify study experience. Get My Training Plan โ†’

Weeks 1-2
Core Services + Highest-Weighted Domain
Deep-dive into the most heavily tested domain. Spend more time here when its exam weight is significantly higher.
Official exam guideDomain 1 completeCore conceptsPractice questions
Week 3
Domain 2 - Hands-on Practice
Focus on scenario-based study and reinforce concepts through practical application where applicable.
Domain 2Scenario walkthroughsHands-on practicePractice questions
Week 4
Domain 3 - Deeper Concepts
Work through complex concepts and decision scenarios.
Domain 3Scenario drillsPractice examReview
Week 5
Remaining Domains + Weak Area Targeting
Identify your weaker domains and spend focused time closing those gaps.
Remaining domainsDiagnosticTargeted reviewStudy notes
Week 6
Full Simulations + Final Preparation
Use timed simulations to test your preparation and review the reasoning behind incorrect answers.
Full mock examsWrong-answer reviewFinal reviewExam logistics
Exam Strategy

Tips to pass AWS Certified Data Engineer - Associate (DEA-C01) on your first attempt

Practical advice for applying what you know, managing questions and preparing for exam conditions.

🗓
Data Ingestion and Transformation is 34% of scored content; practise choosing between Kinesis and MSK, and between Glue, EMR and Lambda, by cost, latency and operational overhead.
🔍
Build a small pipeline end to end (S3, Glue crawler and job, Athena, Step Functions) to anchor the orchestration and cataloging tasks.
⏭
Do not neglect Data Security and Governance (18%): know Lake Formation permissions, KMS cross-account encryption and Macie PII discovery.
📊
Pace yourself at about 2 minutes per question across 65 items in 130 minutes, and remember 15 unscored items are mixed in unmarked.
Recommended Resources

AWS Certified Data Engineer - Associate (DEA-C01) Study Resources

Use a focused set of resources alongside the study guide rather than trying to study from everything available.

Official
Official Exam Guide
Start with the authoritative exam objectives and blueprint.
Practice Tests
AWS Certified Data Engineer - Associate (DEA-C01) Practice Test
Practice questions with explanations and domain-level performance analysis.
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Mock Exam
AWS Certified Data Engineer - Associate (DEA-C01) Mock Exam
Timed preparation under realistic exam-style conditions.
โ†’ Take free mock exam
Training
AWS Certified Data Engineer - Associate (DEA-C01) Certification Training
Structured preparation with personalised learning support and adaptive practice.
โ†’ AWS Certified Data Engineer - Associate (DEA-C01) certification online training
AI Tutor
AWS Certified Data Engineer - Associate (DEA-C01) AI Tutor
Get help understanding concepts and work on weak areas with AI-powered learning support.
โ†’ Try AWS Certified Data Engineer - Associate (DEA-C01) AI tutor
Reference
AWS Certified Data Engineer - Associate (DEA-C01) Cheat Sheet
Quick-reference summaries for final revision.
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Diagnostic
AWS Certified Data Engineer - Associate (DEA-C01) Readiness Test
Assess your preparation and identify weaker exam domains.
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Reviews

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FAQ

Frequently asked questions about AWS Certified Data Engineer - Associate (DEA-C01)

Most candidates with relevant background can structure their preparation over several weeks, depending on their existing knowledge, available study time and exam difficulty. Use the study roadmap above as a starting point and use the readiness diagnostic to identify where you need more preparation.
The guide covers the exam overview, domains, detailed syllabus and topics, study roadmap, exam preparation tips and links to practice, mock, readiness, cheat-sheet, AI Tutor and training resources.
The guide is designed to organize your preparation around the exam syllabus. You should combine it with practice questions and timed simulations so that you can test both your knowledge and your ability to apply it.
Yes. Start with the exam overview and domain breakdown, then work through the detailed topics using the study roadmap. Candidates with less experience may need additional time for foundational concepts.
Take the Edureify readiness diagnostic to assess your preparation and identify the domains where you need to focus more.
Edureify AI can help explain concepts, identify weaker areas from practice performance and support a more personalised preparation process.

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