If you're targeting the AWS Certified Machine Learning Engineer - Associate (MLA-C01) in 2026, the first question you'll ask is: what's the cut-off? Unlike university entrance exams, AWS doesn't publish a fixed passing score. Instead, the cut-off—or minimum passing score—varies by exam form and is set using a statistical equating process. This article breaks down historic trends, what actually drives those swings, and a realistic 2026 prediction range based on available data.
How the AWS MLA-C01 Cut-Off Actually Works
AWS uses a scaled scoring model. Each exam form has a different difficulty level, and the passing score is adjusted so that a candidate's ability is measured consistently across forms. The official passing score for MLA-C01 has historically been around 720 out of 1,000. But that's not a hard number—it can shift by 10–20 points depending on the form.
Key facts:
- Scaled score range: 100–1,000
- Passing score: typically 720 (but not guaranteed)
- No partial credit: questions are scored as correct or incorrect
- Unscored questions: some questions are experimental and don't count
Historic Cut-Off Trends (2023–2025)
Since MLA-C01 launched in late 2023, the passing score has remained relatively stable. Based on candidate reports and AWS documentation:
- 2023 (beta/launch): Passing score was 720, but the exam had a small pool of questions and a steep learning curve.
- 2024: The passing score stayed at 720 for most forms. Some candidates reported 710–730 depending on the form they received.
- 2025: AWS introduced more ML-specific scenarios and updated the question bank. The passing score remained at 720, but the difficulty of individual forms varied more noticeably.
What does this mean? The cut-off isn't rising like a competitive exam. It's designed to stay constant in terms of candidate ability, not raw score. So a 720 in 2023 is roughly equivalent to a 720 in 2025.
What Drives Cut-Off Swings?
Three main factors cause the cut-off to move:
- 1Form difficulty: If a particular form has harder questions, AWS lowers the passing score to maintain fairness. Conversely, an easier form may require a higher raw score to hit 720.
- 2Question bank updates: When AWS adds new domains or updates existing ones (e.g., new SageMaker features), the initial forms may be slightly unpredictable.
- 3Candidate performance data: AWS uses psychometric analysis. If a form performs differently than expected, they adjust the equating.
In practice, the cut-off rarely moves more than 10–15 points from the 720 baseline.
2026 Prediction: What Should You Aim For?
Based on the stability of the exam and AWS's consistent approach, here's our calibrated prediction for 2026:
- Most likely passing score: 720
- Possible range: 710–730
- Safe target: 750+ to account for form-to-form variance and your own test-day performance.
Aim for a scaled score of 750 or higher. That gives you a buffer even if you get a slightly harder form or make a few careless mistakes.
Take a free AWS Certified Machine Learning Engineer - Associate demo mock to find out where you stand: Try the demo →
How to Prepare for a 750+ Score
A 750 isn't just about knowing the material—it's about exam strategy. Here's what works:
- Master the exam domains: Data engineering, exploratory data analysis, modeling, ML implementation, and operations. The exam weights these heavily.
- Practice with scenario-based questions: AWS loves long, wordy scenarios. Learn to extract the key requirements quickly.
- Take timed mocks: Simulate the real exam environment. You need to answer ~65 questions in 130 minutes (roughly 2 minutes per question).
- Review wrong answers: Don't just check your score. Understand why you got each question wrong.
What If You Score Below 720?
You'll get a score report showing your performance by domain. Use that to target your weakest areas. Retaking the exam is allowed after 14 days, and your previous score doesn't affect your next attempt.
The Bottom Line
The AWS MLA-C01 cut-off is not a moving target in the traditional sense. It's a calibrated threshold that stays around 720. Your job is to aim for 750+ to be safe. Focus on understanding core ML concepts on AWS, not on chasing a mythical cut-off number.
See AWS Certified Machine Learning Engineer - Associate mock-test packs and pricing: View plans →
Where to Next?
- Take a free demo mock to benchmark your current level.
- Explore full-length mock tests with detailed explanations.
- Read our AWS MLA-C01 study guide for a week-by-week plan.