Google Professional Machine Learning Engineer Pass Rate

Certification bodies publish the passing score, not the percentage of candidates who pass. For the Google Professional Machine Learning Engineer the published cut score is not published in our records. Because there is no published line, your result is reported as a performance band per domain rather than as a single number.

The vendor does not publish a numeric passing score for this certification, so we will not guess one. Officially: Not published by the provider (Google provides pass/fail results only; no numeric passing score is published)

We can only work that out when both the question count and the passing score are published. This exam has 60 questions.

Scaled. A scaled exam converts your raw correct answers into a score on a common scale, which is why the published cut score is a number like the vendor figure rather than a count of questions. The practical consequence: you cannot reverse-engineer the pass line from a practice test, so practise on the real format and trust the scaled score.

This exam scores 2.2/10 for difficulty in our bank, so the margin matters. Aim for at least 90% on timed mocks in the same format before you book. There is room for error here, which does not make the exam easy.

Yes. 60 practice questions for this certification, scored per domain against the official domain weights, so you can see whether your weak domain will drag the total under the line.