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Everything needed to plan for the GCP Professional ML Engineer (Professional ML Engineer) exam: number of questions, time limit, passing score, and the official domain weightings. For the domain checklist, see the Professional ML Engineer study guide. For a week-by-week plan, see the Professional ML Engineer study plan.
Facts last checked . Vendor links for this exam are on the materials page. To correct a figure, use the corrections policy.
GCP Professional ML Engineer (Professional ML Engineer) is a Professional level Google Cloud certification exam with 60 questions in 120 minutes (last checked 2026-10-19). It covers 6 domains: Architecting Low-Code ML Solutions (17%); Collaborating Within and Across Teams (17%); Scaling Prototypes Into ML Models (17%); Serving and Scaling Models (17%); Automating and Orchestrating ML Pipelines (16%); Monitoring ML Solutions (16%).
Exam code
Professional ML Engineer
Questions
60
Time limit
120 min
Passing score
Not published
Official domains
6
Level
Professional
Provider
Google Cloud
Practice questions
300+ on CertStud
| Domain | Weight | What it covers |
|---|---|---|
| Architecting Low-Code ML Solutions | 17% | BigQuery ML, AutoML, pre-built APIs, RAG architectures |
| Collaborating Within and Across Teams | 17% | Data validation, responsible AI, model cards, ML metadata |
| Scaling Prototypes Into ML Models | 17% | Custom training, distributed training, hyperparameter tuning |
| Serving and Scaling Models | 17% | Vertex AI Endpoints, batch prediction, model optimization |
| Automating and Orchestrating ML Pipelines | 16% | Vertex AI Pipelines, Kubeflow, CI/CD for ML, Feature Store |
| Monitoring ML Solutions | 16% | Drift detection, model monitoring, retraining strategies |
Percentages reflect published official domain weightings. Prerequisite knowledge and current scoring rules are confirmed on the Google Cloud exam page before booking.
The Professional ML Engineer figure on file is 60 questions. Last checked 2026-10-19. Confirm the current figure with Google Cloud before you book.
The Professional ML Engineer time limit on file is 120 minutes. Last checked 2026-10-19. Confirm the current figure with Google Cloud before you book.
The Professional ML Engineer exam is scored against a competency standard rather than a published percentage, so no single passing score applies. Confirm the current scoring standard on the official Google Cloud exam page before you book.
The Professional ML Engineer exam covers 6 official domains: Architecting Low-Code ML Solutions (17%), Collaborating Within and Across Teams (17%), Scaling Prototypes Into ML Models (17%), Serving and Scaling Models (17%), Automating and Orchestrating ML Pipelines (16%), Monitoring ML Solutions (16%).
Architecting Low-Code ML Solutions carries the heaviest weighting on the Professional ML Engineer exam at 17% of the exam. BigQuery ML, AutoML, pre-built APIs, RAG architectures
Professional ML Engineer is the exam code for GCP Professional ML Engineer (Google Cloud Professional Machine Learning Engineer), a Professional level Google Cloud certification exam covering 6 domains.
The Professional ML Engineer passing figure on file is a competency standard rather than a published percentage. Plan for 60 questions across 120 minutes, weighted by domain: 17% Architecting Low-Code ML Solutions, 17% Collaborating Within and Across Teams, 17% Scaling Prototypes Into ML Models, 17% Serving and Scaling Models, 16% Automating and Orchestrating ML Pipelines, 16% Monitoring ML Solutions. Last checked 2026-10-19. Confirm the current figure with Google Cloud before you book.
CertStud offers free Professional ML Engineer practice questions with detailed explanations, plus full-length practice exams and flashcards at https://certstud.com/certifications/google-cloud/professional-ml-engineer. Start with 10 free questions at https://certstud.com/try-free.