Domain 01
Architecting ML and Generative AI Solutions
25%
Design ML and GenAI solutions using Google Cloud tools.
Vertex AI and Foundation ModelsAgentic Workflows and RAGPre-trained APIs
Google Cloud
Google Cloud Professional Machine Learning Engineer
Code: GCP-PROFESSIONAL-MACHINE-LEARNING
Validates ability to design, build, and productionize ML and Generative AI models using Google Cloud technologies.
50
Questions
120m
Time Limit
700
Pass Score
5
Domains
2500
Practice Bank
Exam Domains
Domain 02
Model Development and Evaluation
25%
Build, train, and evaluate ML and LLM models.
Custom Model TrainingLLM Prompt EngineeringModel Evaluation
Domain 03
ML Pipeline Automation and Orchestration
20%
Automate ML and GenAI workflows.
Vertex AI PipelinesCI/CD for MLModel Registry
Domain 04
Scaling Data Processing for ML
15%
Process data at scale for ML workloads.
Data processing at scaleFeature engineering
Domain 05
ML Solution Monitoring
15%
Monitor and maintain ML solutions safely.
Model MonitoringResponsible AI
2,000+ Questions
Industry-standard simulation of the actual exam environment.
Timed Exams
Practice under pressure with realistic time constraints.
Detailed Explanations
Understand the why behind every single answer choice.
Progress Tracking
Advanced analytics to identify your weak domains.
Frequently Asked Questions
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