Google Cloud

Professional Machine Learning Engineer

Architect, build, scale, and monitor ML solutions on Google Cloud.

Verified against the official Google Cloud exam guide — July 6, 2026

Exam code

50

Questions

120 min

Duration

70%

Pass mark

Exam domains

Architecting low-code ML solutionsFree samples →Study guide →13%
Collaborating within and across teamsFree samples →Study guide →14%
Scaling prototypes into ML modelsFree samples →Study guide →18%
Serving and scaling modelsFree samples →Study guide →20%
Automating and orchestrating ML pipelinesFree samples →Study guide →22%
Monitoring ML solutionsFree samples →Study guide →13%

Frequently asked questions

How many questions are on the Professional Machine Learning Engineer exam?

The Professional Machine Learning Engineer exam has 50 questions and lasts 120 minutes. You need 70% to pass.

What score do you need to pass Professional Machine Learning Engineer?

The passing score for Professional Machine Learning Engineer is 70%. DataCertPrep's timed mock exams use the same pass mark, length, and timing as the real Google Cloud exam.

How hard is the Professional Machine Learning Engineer exam?

Professional Machine Learning Engineer is a scenario-based Google Cloud exam — it tests applied judgment, not memorization. Most candidates who consistently score above the 70% pass mark on realistic mock exams pass the real exam. DataCertPrep's readiness score is weighted by the official domain weights so you know when you're ready.

What is the best way to prepare for Professional Machine Learning Engineer?

Work through the domain study guides, drill scenario-based practice questions until your weak domains catch up, use spaced-repetition flashcards for facts and limits, then confirm with a full-length timed mock exam. DataCertPrep includes all four for Professional Machine Learning Engineer, verified against the official Google Cloud exam guide on 2026-07-06.