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Google Cloud Professional Machine Learning Engineer Practice Exam

GCP-PROFESSIONAL-MACHINE-LEARNING

Validates ability to design, build, and productionize ML models using Google Cloud technologies.

Exam Details

Official GCP-PROFESSIONAL-MACHINE-LEARNING exam format

Questions
50
Time Limit
120 minutes
Passing Score
700/100
Domains
6
1,500+
Practice Questions
100
Unique Practice Exams

Exam Domains

The Google Cloud Professional Machine Learning Engineer exam covers 6 domains with different weight percentages

Domain 1: Architecting Low-Code ML Solutions

15%

Design ML solutions using low-code tools.

Topics covered:
  • AutoML
  • BigQuery ML
  • Pre-trained APIs

Domain 2: Collaborating within ML Teams

10%

Work effectively in ML teams.

Topics covered:
  • ML project management
  • Vertex AI Workbench
  • Feature Store

Domain 3: Scaling Data Processing for ML

15%

Process data at scale for ML workloads.

Topics covered:
  • Data processing at scale
  • Feature engineering
  • Data validation

Domain 4: Model Development

25%

Build and train ML models.

Topics covered:
  • Vertex AI Training
  • Hyperparameter tuning
  • Model selection
  • Distributed training

Domain 5: ML Pipeline Automation and Orchestration

20%

Automate ML workflows.

Topics covered:
  • Vertex AI Pipelines
  • CI/CD for ML
  • Model versioning

Domain 6: ML Solution Monitoring

15%

Monitor and maintain ML solutions.

Topics covered:
  • Model monitoring
  • Prediction drift
  • Explainability

What You Get with BetaStudy

1,500+ Questions

Comprehensive question bank covering all exam domains

Timed Exams

Practice under real exam conditions with 120-minute timer

Detailed Explanations

Understand why answers are correct with detailed explanations

Progress Tracking

Track your performance by domain and watch yourself improve

Frequently Asked Questions

Common questions about the Google Cloud Professional Machine Learning Engineer certification exam

How many questions are on the Google Cloud Professional Machine Learning Engineer exam?
The Google Cloud Professional Machine Learning Engineer (GCP-PROFESSIONAL-MACHINE-LEARNING) exam contains 50 questions that must be completed within 120 minutes.
What is the passing score for Google Cloud Professional Machine Learning Engineer?
You need to score 700 out of 100 (700%) to pass the Google Cloud Professional Machine Learning Engineer certification exam.
What topics are covered in the Google Cloud Professional Machine Learning Engineer exam?
The exam covers 6 main domains: Architecting Low-Code ML Solutions, Collaborating within ML Teams, Scaling Data Processing for ML, Model Development, ML Pipeline Automation and Orchestration, ML Solution Monitoring. Each domain has different weight percentages based on importance.
How can BetaStudy help me pass the Google Cloud Professional Machine Learning Engineer exam?
BetaStudy provides 1,500+ practice questions covering all 6 exam domains, 100 unique practice exams that simulate real exam conditions, detailed explanations for every answer, and progress tracking to identify your weak areas.
Are the practice questions updated for the latest GCP-PROFESSIONAL-MACHINE-LEARNING exam?
Yes, our questions are automatically updated whenever the official exam syllabus changes. We monitor the official Google Cloud certification page and regenerate questions to match the current exam format.

Official Resources

Official Exam GuideGoogle Cloud Documentation

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