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Google Professional Machine Learning Engineer
The Google Professional Machine Learning Engineer certification validates the ability to build, deploy, and scale machine learning models using Google Cloud technologies
- 120 min
- 60 bank questions
- 4 domains
Exam syllabus, organized by domain
The official Google Cloud blueprint, with the real weight each domain carries on test day.
Try a real question
Answer one question from the live bank. Grading happens on our servers, so the answer key never reaches the page.
Try a real question
Sample Google Professional Machine Learning Engineer exam question
Answer this question the same way you would on exam day. No sign-up needed — one random question, three tries to swap it out.
When a team begins work on a specialized dataset, what is transfer learning typically used to achieve?
Exam facts at a glance
Every figure below comes from the certification record or from the question bank itself.
- Time limit
- 120 minutes
- Domains
- 4
- Questions in our bank
- 60
- Level
- PROFESSIONAL
- Measured complexity
- 2.2 / 10
- Question mix
- 21 single · 21 multi · 18 interactive
Where the hard questions actually are
We score every question in the bank 1-10 on a reproducible formula. Below is the per-domain breakdown.
- Data engineering and preprocessing11 questions · complexity 2.0/10 · Gentle
36% multi-select · 0% scenario · 27% interactive
- MLOps (pipeline automation, deployment, monitoring)21 questions · complexity 2.5/10 · Gentle
38% multi-select · 10% scenario · 33% interactive
- Model development and evaluation17 questions · complexity 2.0/10 · Gentle
35% multi-select · 0% scenario · 29% interactive
- Problem framing and solution design11 questions · complexity 2.0/10 · Gentle
36% multi-select · 0% scenario · 27% interactive
Read the questions before you take them
The question bank with the correct answer and a written explanation for every item.
Frequently asked questions
What you need to know before attempting the Google Professional Machine Learning Engineer certification.