Exam guide
The Professional Machine Learning Engineer exam has 50–60 questions and takes 120 minutes. Google Cloud doesn’t publish a passing score. It costs $200 (plus tax where applicable). Google Cloud hasn’t announced a retirement date.
Last updated
The exam at a glance
From Google Cloud’s own pages, checked every week (last on November 8, 2026). The cost is checked every week too. How we check our facts
Versions and dates
Google Cloud hasn’t announced a retirement date for Professional Machine Learning Engineer. We check Google Cloud’s site every week, and this page changes the day it does.
Exam domains
Each domain’s share of the exam, as Google Cloud publishes it. Spend your study time in the same proportion.
1Architecting low-code AI solutions
13%
2Collaborating within and across teams to manage data and models
16%
3Scaling prototypes into ML models
21%
4Serving and scaling models
20%
5Automating and orchestrating ML pipelines
18%
6Monitoring AI solutions
13%
Prepare
Free tools to find your weak domains and plan your weeks, then full practice exams in OpenpassAI.
Free practice test
Original questions across the exam’s domains, each with an explanation, and your score by domain.
Take the testFree study plan
Pick your exam date and weekly hours, and get a plan weighted like the domains above.
Make my planGoogle Cloud certifications
Every Google Cloud certification on one map, with each exam’s facts checked weekly.
See the Google Cloud pageTake it further in OpenpassAI
Timed exams weighted like the real one, an AI tutor that explains every answer, and a readiness score for each domain.
FAQs
Find quick answers or contact our support team.
The Professional Machine Learning Engineer exam has 50–60 questions, and you get 120 minutes.
Google Cloud doesn’t publish a passing score for Professional Machine Learning Engineer. Google gives results as pass or fail.
$200 (plus tax where applicable). Check Google Cloud’s site for the price in your country.
Google Cloud hasn’t announced one yet. We check Google Cloud’s site every week, and this page changes the day it does.
Google Cloud recommends 3+ years in industry, 1+ on Google Cloud. It isn’t required to sit the exam.
Weight your time like the exam: Scaling prototypes into ML models carries the most (21%). Take the free practice test to find your weakest domains, make a study plan around them, and before you book, sit full-length timed practice exams until you pass them comfortably.
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