- DEA-C01 is the exam code for AWS Certified Data Engineer - Associate, issued by AWS.
- The exam has 65 questions (50 scored, 15 unscored) in 130 minutes, delivered through Pearson VUE.
- Passing requires a minimum scaled score of 720 on a 100-1,000 scale, not a 72% raw score.
- Four weighted domains apply; Data Ingestion and Transformation is the largest at 34%.
The Short Answer: What the Code Points To
On this site, DEA-C01 means one thing: the exam code for AWS Certified Data Engineer - Associate (DEA-C01), a certification governed by AWS. It validates knowledge of the core tasks a data engineer performs on AWS: ingesting data, transforming it, storing and cataloging it, operating pipelines, and securing and governing the result.
If you landed here after typing a question like "what does DEA-C01 mean," the answer is a label, not a concept. It is a certification identifier. It tells you which AWS exam you are looking at, which exam guide applies, and which set of objectives you will be measured against. For related phrasing of the same question, see our pages on the DEA-C01 meaning and what DEA-C01 stands for, and for the broader overview, What Is DEA-C01?
Reading "DEA-C01" Piece by Piece
AWS does not publish a glossary that expands every letter of its exam codes in a single sentence, so it is worth being careful about what is known and what is only a reasonable reading.
- The role signal: the code corresponds to the Data Engineer role in the credential's full name. The letters track the certification title, not a standalone acronym that AWS defines in the exam guide.
- The level signal: the credential title carries the "Associate" level. AWS's own naming places it in the Associate tier.
- The "C01" segment: in AWS's exam-code convention, this segment identifies the exam's version slot. Treat it as an identifier for this exam's edition rather than a number with independent meaning.
The practical point: when AWS publishes an exam guide, the code and the full credential name travel together. The code you register for, the guide you study from, and the score report you receive all reference the same identity.
Why the Full Name Matters
Short exam codes can collide. Different organizations use similar abbreviations for unrelated credentials, and search results can blur them together. A candidate who studies from material written for a different credential will prepare for the wrong objectives, the wrong format, and the wrong fee.
A fast sanity check is to compare any resource against four facts: the issuer is AWS, the exam has four domains, the standard fee is USD 150, and the passing score is a scaled 720. If those do not line up, close the tab.
The Exam Behind the Code
Here is how the exam works in practice, drawn from the published exam details.
| Item | DEA-C01 detail |
|---|---|
| Credential | AWS Certified Data Engineer - Associate (DEA-C01) |
| Governing body | AWS |
| Delivery | Pearson VUE, at a test center or through online proctoring |
| Fee | USD 150, plus applicable taxes under AWS testing policies |
| Questions | 65 total: 50 scored and 15 unscored |
| Time | 130 minutes |
| Item types | Multiple-choice and multiple-response |
| Passing score | Minimum scaled score of 720 (scale of 100-1,000) |
| Languages listed | English, Japanese, Korean, Simplified Chinese |
| Validity | Three years |
Question style
Per the guide, a multiple-choice item has one correct answer and three distractors. A multiple-response item has two or more correct answers among five or more options. The 15 unscored questions are not identified to you, so treat every item as if it counts.
Scoring mechanics worth understanding
- 720 is a scaled score. It is not a 72% raw-score threshold, and a practice-test percentage cannot be converted into the official scaled score.
- Scoring is compensatory. Strength in one domain can offset weakness in another; there is no separate pass requirement per domain.
- Unanswered items are incorrect, and there is no penalty for guessing. Answer everything.
- Breaks are not scheduled. Center-based unscheduled breaks consume exam time, and online candidates cannot leave camera view for an unapproved break.
For a deeper treatment of these rules, read DEA-C01 Passing Score 2026, and for fee mechanics see DEA-C01 Certification Cost 2026. Note that an active AWS Certification gives a 50% discount benefit toward a next certification exam; it is a specific benefit, not a general member discount or a guaranteed price for every candidate.
What the Four Domains Cover
The exam objectives are organized into four content domains with published weights. Together they contain 17 task statements and 120 numbered skills. Here is the high-level map; our complete guide to the four DEA-C01 content areas goes deeper.
Domain 1: Data Ingestion and Transformation (34%)
The heaviest domain. It covers four tasks: performing data ingestion, transforming and processing data, orchestrating data pipelines, and applying programming concepts.
- Streaming sources such as Kinesis, MSK, DynamoDB Streams, and DMS, plus batch reads from S3, Glue, EMR, Redshift, Lambda, and AppFlow
- Schedulers and event triggers (EventBridge, Apache Airflow, S3 Event Notifications), throttling and rate limits, fan-in/fan-out, and replayability
- Format conversion such as .csv to Apache Parquet, debugging transformation failures, and integrating LLMs into processing
- Orchestration with Step Functions, MWAA, Glue workflows, and Lambda; infrastructure as code with CloudFormation, CDK, and SAM
Domain 2: Data Store Management (26%)
Choosing and managing where data lives, and how it is described and modeled.
- Matching stores to access patterns: Redshift, DynamoDB, RDS, Aurora, MemoryDB, Lake Formation
- Open table formats such as Apache Iceberg, plus vector index concepts (HNSW and IVF)
- Cataloging with the Glue Data Catalog and crawlers, and business catalogs with SageMaker Catalog
- Lifecycle: S3 Lifecycle tiering and expiration, versioning, DynamoDB TTL, and schema evolution
Domain 3: Data Operations and Support (22%)
Running pipelines day to day and keeping the data trustworthy.
- Automating processing with Lambda, Step Functions, MWAA, Glue, EMR, and Redshift
- Analyzing with Athena, QuickSight, and Jupyter or Athena Spark notebooks
- Monitoring and troubleshooting with CloudWatch Logs, CloudTrail, and log analysis tools
- Data quality: rules and consistency checks in DataBrew, sampling, and handling data skew
Domain 4: Data Security and Governance (18%)
The smallest domain by weight, but one that touches every pipeline you build.
- Authentication and authorization with IAM, Secrets Manager, Lake Formation permissions, and least-privilege policies
- Encryption with KMS, cross-account encryption, and data masking
- Audit logging with CloudTrail and CloudTrail Lake
- Privacy and governance: identifying PII with Macie, Region restrictions, AWS Config, and sovereignty requirements
Version 1.1 and the Scope Boundaries
The current exam guide is DEA-C01 Exam Guide v1.1, published December 12, 2025. It is the latest revision listed in the revision record reviewed for this article. No separate precise effective or go-live date was established, so avoid assuming one from the publication date. Always read the live guide before you commit to a study plan.
What is in and out of scope
- Not exhaustive. The guide states that its content list is not exhaustive, and the in-scope service list is subject to change.
- Out of scope as job tasks: machine-learning model training and inference, programming-language-specific syntax, and drawing business conclusions from data. Skill 1.4.3 names languages such as Python, SQL, and Scala, but that does not turn the exam into a syntax test.
- Out-of-scope services include items such as Amazon FinSpace, AWS Amplify, AWS AppSync, AWS X-Ray, and the IoT and media service families.
Validity and Renewal
The certification is valid for three years. To renew, the credential page describes passing the latest version of this exam. The AWS recertification table also permits passing AWS Certified Generative AI Developer - Professional to renew an active Data Engineer Associate certification for three years. The renewed period runs from completion of the recertification action, not from the previous expiry date. The Data Engineer Associate row does not list a CEU/CPE quota or a Skill Builder maintenance route, so do not borrow renewal options shown for other certifications.
Who the Credential Fits
AWS describes the target candidate as having two to three years of experience in data engineering or data architecture and one to two years of hands-on AWS experience. That is guidance, not an admission rule: there is no mandatory prior certification, degree, course, or work-hour total. The minimum age is 13, with parent or guardian consent required for ages 13 to 17. See DEA-C01 Requirements 2026 for the full eligibility picture.
The knowledge profile spans two layers:
- General IT: building and maintaining ETL pipelines, applying programming concepts, Git and source control, data lakes, and core networking, storage, and compute.
- AWS-specific: choosing services for cost, performance, and functionality; SQL; data transformation; data quality and consistency; and data security.
People who earn it typically pursue roles centered on building and operating data pipelines on AWS. For market context, see DEA-C01 jobs. We have not found a verified credential-specific salary premium or an issuer-published pass rate, so be skeptical of any source that quotes precise figures; our pass rate analysis and salary guide explain what the evidence does and does not support.
Where to Go After Decoding the Code
Once you know what the code means, the useful question is how heavily to weight your time. Because Domain 1 carries 34% of scored content, ingestion, transformation, and orchestration deserve the largest share of early study; Domain 4, at 18%, still matters because security concepts surface inside scenarios from every other domain.
Ingestion and Transformation
- Streaming versus batch patterns, replayability, and throttling
- Glue, EMR, Lambda, and Step Functions orchestration
Stores and Catalogs
- Redshift, DynamoDB, and S3 lifecycle decisions
- Glue Data Catalog, Iceberg, and vector index concepts
Operations, Security, and Governance
- Monitoring, data quality, and CloudTrail auditing
- IAM, KMS, Lake Formation permissions, and Macie
For a structured plan, use our DEA-C01 study guide, gauge effort with how hard the exam is, and keep the DEA-C01 cheat sheet handy for last-minute review. When you are ready to test your recall of these topics, try the DEA-C01 practice tests to find weak areas before you book. Practice questions here are independently written knowledge preparation, not actual exam items, and results do not predict your official scaled score.
Key Takeaway
Treat "DEA-C01" as a pointer to a specific exam guide, not just a label. Anchor your preparation to the v1.1 guide, the four domain weights, and the 720 scaled passing score, and re-check the live AWS pages before booking.
Frequently Asked Questions
DEA-C01 is the exam code for AWS Certified Data Engineer - Associate, a certification governed by AWS. It covers data ingestion and transformation, data store management, data operations and support, and data security and governance.
Yes. DEA-C01 is the code for the AWS Certified Data Engineer - Associate exam. Always confirm the full name and issuer, because other credentials elsewhere may use similar abbreviations.
There are 65 questions, of which 50 are scored and 15 are unscored and unidentified. You have 130 minutes, and items are multiple-choice or multiple-response.
A minimum scaled score of 720 on a 100-1,000 scale. This is not a 72% raw-score cutoff, and scoring is compensatory across the whole exam rather than requiring a pass in each domain.
Three years. You can renew by passing the latest version of the exam, or by passing AWS Certified Generative AI Developer - Professional under the current recertification table. The renewed period runs from the date you complete the recertification action.