Google Cloud Exam BlueprintPROFESSIONAL
Machine Learning Engineer Exam Objectives
GCP-13
Master all 6 exam domains for the GCP-13 certification. Understanding the exam objectives and their weightings is crucial for focused, efficient preparation.
Exam Overview
Total Domains6
DifficultyPROFESSIONAL
Questions50-60
Passing ScorePass/Fail (no numerical score disclosed)
Exam Domains
All Exam Objectives
6 domains covering 100% of the exam
1
Framing ML Problems
15% of exam15%
~10 questions
2
Architecting ML Solutions
20% of exam20%
~13 questions
3
Designing Data Preparation and Processing Systems
20% of exam20%
~13 questions
4
Developing ML Models
25% of exam25%
~16 questions
5
Automating and Orchestrating ML Pipelines
10% of exam10%
~7 questions
6
Monitoring, Optimizing, and Maintaining ML Solutions
10% of exam10%
~7 questions
Strategy
Study Strategy by Domain Weight
Prioritize your study time based on exam weightings
Highest Priority
Developing ML Models
25%
Allocate approximately 20 hours of study time
Architecting ML Solutions
20%
Allocate approximately 16 hours of study time
Designing Data Preparation and Processing Systems
20%
Allocate approximately 16 hours of study time
Framing ML Problems
15%
Allocate approximately 12 hours of study time
Automating and Orchestrating ML Pipelines
10%
Allocate approximately 8 hours of study time
Monitoring, Optimizing, and Maintaining ML Solutions
10%
Allocate approximately 8 hours of study time
More Resources