Passing score
MLA-C01What it takes to pass ML Engineer Associate
The passing score for MLA-C01 is 720 on a scale of 100 to 1000. That is a scaled score rather than a percentage, which is the part most people read wrong.
A scaled 720 is not 72 percent
MLA-C01 reports results on a scale from 100 to 1000, and 720 is the line on that scale, not a percentage of questions. Amazon Web Services (AWS) converts your raw performance to the scale with a model it does not publish, which weights questions by difficulty. Two candidates can answer the same number of questions correctly and land on different scaled scores.
That has one practical consequence: nobody outside Amazon Web Services (AWS) can tell you exactly how many questions you can miss. Any site that gives you a precise miss budget is guessing. You can still practice against the line itself: our ML Engineer Associate practice exams score against the published 720, so a practice result reads the way the real one will.
If you miss it
A retake costs another $150.
Know before you book
Sit a full-length ML Engineer Associate practice exam under the real time limit, scored against the published line, and book the real exam when you have cleared it more than once.
Keep reading
- ML Engineer Associate practice questions
Free sample questions with the full explanation on every answer.
- Free ML Engineer Associate practice test
10 original questions, playable now. No account, no card.
- ML Engineer Associate exam format
How many questions, how long, what the items look like, and how long it stays valid.
- How hard is ML Engineer Associate?
An honest difficulty read from the format, the clock and the weights.
- What ML Engineer Associate costs
The voucher price, the retake, and what renewal costs across the cycle.
- ML Engineer Associate guide
Who it is for, study plans by experience level, and whether it is worth it.
Practice ML Engineer Associate for free while you decide
Original questions written from the published objectives, with the concept, the reasoning, and a note on every wrong option. No account needed to start.
Start free ML Engineer Associate questions