Domain 01
Architecting Low-Code ML Solutions
15%
Design ML solutions using low-code tools.
AutoMLBigQuery MLPre-trained APIs
Google Cloud
Google Cloud Professional Machine Learning Engineer (Archived)
Code: GCP-PROFESSIONAL-MACHINE-LEARNING-OLD
Validates ability to design, build, and productionize ML models using Google Cloud technologies.
50
Questions
120m
Time Limit
700
Pass Score
6
Domains
1925
Practice Bank
Exam Domains
Domain 02
Collaborating within ML Teams
10%
Work effectively in ML teams.
ML project managementVertex AI WorkbenchFeature Store
Domain 03
Scaling Data Processing for ML
15%
Process data at scale for ML workloads.
Data processing at scaleFeature engineeringData validation
Domain 04
Model Development
25%
Build and train ML models.
Vertex AI TrainingHyperparameter tuningModel selectionDistributed training
Domain 05
ML Pipeline Automation and Orchestration
20%
Automate ML workflows.
Vertex AI PipelinesCI/CD for MLModel versioning
Domain 06
ML Solution Monitoring
15%
Monitor and maintain ML solutions.
Model monitoringPrediction driftExplainability
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.
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