The AWS Certified Machine Learning Engineer - Associate (MLA-C01) exam is a rigorous test of your ability to build, train, tune, and deploy ML models on AWS. When results release, the process is straightforward — but only if you know where to look and what the numbers actually mean. This guide walks you through accessing your results, interpreting the scorecard, and deciding what to do next, whether you passed or fell short.
How to Access Your AWS MLA-C01 Results
AWS does not email your scorecard directly. Instead, results appear in your AWS Certification Account. Here’s the exact path:
- 1Go to aws.amazon.com/certification and sign in with the same Amazon account you used to book the exam.
- 2Click Certification History (or Manage Certifications on the new dashboard).
- 3Find your MLA-C01 attempt. You’ll see a Pass or Fail status, your total score, and a breakdown by domain.
- 4For detailed performance, click View Score Report — this opens a PDF or web view with domain-level percentages.
Results are typically available within 5 business days of taking the exam, though Pearson VUE online proctoring sometimes takes a day or two longer. If you don’t see your result after a week, check your spam folder for an email from AWS Training & Certification, then contact AWS Certification Support.
Note: AWS occasionally updates the exam guide and scoring model. Always verify the latest details on the official portal — AWS Certified Machine Learning Engineer - Associate fees were last revised in early 2026, and the passing score is set by AWS and can change without notice.
Understanding Your MLA-C01 Scorecard
The scorecard isn’t just a pass/fail stamp. It’s a diagnostic tool. Here’s what each section tells you:
Total Score and Passing Score
Your total score is a scaled number — typically between 100 and 1000. The passing score is set by AWS based on exam difficulty and is not a fixed percentage. For MLA-C01, the passing score has historically been around 720–750, but AWS does not publish the exact threshold. If you see a score close to the passing line, treat it as a warning: your knowledge is borderline, and you should review the domains where you scored lowest.
Domain-Level Breakdown
The MLA-C01 exam has four domains:
- Data Preparation and Feature Engineering (30%)
- Model Development and Training (20%)
- Model Deployment and Inference (24%)
- ML Pipeline, Operations, and Security (26%)
Your scorecard shows a percentage for each domain. These percentages are not weighted — they show your raw performance in that area. If you scored 70% in one domain and 90% in another, the 70% domain is where you should focus your study.
What a "Pass" Really Means
Passing the MLA-C01 exam earns you the AWS Certified Machine Learning Engineer - Associate certification, which is valid for three years. You’ll also get a digital badge you can share on LinkedIn and a certificate you can download from the Certification portal. But passing is just the start — the real value comes from applying that knowledge.
What to Do After You Pass
If you passed, congratulations. Here’s your immediate checklist:
- Download your certificate — go to Certification History and click Download Certificate. Save it as a PDF for your records.
- Claim your digital badge — AWS sends you an email from Credly with a link to accept your badge. This is free and takes two minutes.
- Update your resume and LinkedIn — add the certification with your credential ID and validation URL.
- Plan your recertification — the cert expires after three years. AWS offers a recertification exam (MLA-C01-RECERT) that is shorter and cheaper than the full exam. Mark your calendar for 2029.
Take a free AWS Certified Machine Learning Engineer - Associate demo mock to find out where you stand: Try the demo →
What to Do If You Didn’t Pass
Failing is not a dead end. AWS allows you to retake the exam after a 14-day waiting period. You can retake as many times as you like, but each attempt requires a new exam fee. Here’s how to turn a fail into a pass:
- 1Analyze your scorecard — identify the domains where you scored below 70%. That’s your study priority.
- 2Review the AWS Skill Builder — AWS offers official practice exams and learning paths. Use the domain breakdown to target your weak areas.
- 3Hands-on practice — the MLA-C01 exam includes scenario-based questions. Build small ML pipelines using SageMaker, Lambda, and Step Functions. The more you build, the easier the questions become.
- 4Take mock exams — especially ones that mimic the actual exam interface and question style. This reduces test-day anxiety and improves time management.
See AWS Certified Machine Learning Engineer - Associate mock-test packs and pricing: View plans →
Common Questions About MLA-C01 Results
How long are results valid?
The certification is valid for three years from the date you pass. After that, you must recertify.
Can I get a breakdown of my answers?
No. AWS does not release the actual questions or your specific answers. The scorecard only shows domain-level percentages.
What if I suspect a scoring error?
AWS has a formal review process. Contact AWS Certification Support within 30 days of your exam date. They will review your exam recording and score. This is rare, but it happens.
Do I need to retake the full exam to recertify?
No. AWS offers a recertification exam that is shorter (about 45 minutes) and cheaper. You can take it anytime in the final year of your certification.
Where to Next?
Your MLA-C01 result is a data point, not a verdict. Use it to guide your next move:
- If you passed: Start applying for ML engineer roles or take on a real-world SageMaker project to solidify your skills.
- If you failed: Book your retake after the 14-day wait, but only after you’ve closed your weak domains.
- If you’re still studying: Take a full-length practice test to simulate the real exam environment and identify gaps before you book.