Google Cloud
Scoring Guide
Machine Learning EngineerPassing Score
Understand the scoring requirements for the GCP-13 exam. Learn what score you need to pass and how the exam is evaluated.
Minimum Passing Score
Pass/Fail (no numerical score disclosed)
Scaled score out of 1000 points
Exam Details
Exam Scoring Details
Key information about the Machine Learning Engineer exam format
Passing Score
Pass/Fail (no numerical score disclosed)
Minimum score required to pass
Total Questions
50-60
Questions on the exam
Time Limit
120 min
To complete the exam
Domains
6
Topic areas covered
Domain Weights
Score by Domain
Questions are distributed across 6 domains
Domain 1Framing ML Problems
15%
~10 questions
Domain 2Architecting ML Solutions
20%
~13 questions
Domain 3Designing Data Preparation and Processing Systems
20%
~13 questions
Domain 4Developing ML Models
25%
~16 questions
Domain 5Automating and Orchestrating ML Pipelines
10%
~7 questions
Domain 6Monitoring, Optimizing, and Maintaining ML Solutions
10%
~7 questions
Important Notes
- Some questions may be unscored (used for research)
- All questions carry equal weight within their domain
- There is no penalty for wrong answers - always guess
- Results are typically available immediately after the exam
Scoring Tips
- Aim for 80%+ in practice exams before taking the real exam
- Focus on high-weight domains for maximum impact
- Do not spend too long on any single question
- Review flagged questions at the end if time permits
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