GCP Professional ML Engineer Practice Exams

Exam Domains:

• Architecting Low-Code ML Solutions (17%): BigQuery ML, AutoML, Vertex AI pre-built models
• Collaborating Within and Across Teams (17%): Data validation, model cards, responsible AI
• Scaling Prototypes Into ML Models (17%): Custom training, distributed training, hyperparameter tuning
• Serving and Scaling Models (17%): Vertex AI Endpoints, batch prediction, model optimization
• Automating and Orchestrating ML Pipelines (16%): Vertex AI Pipelines, Kubeflow, CI/CD for ML
• Monitoring ML Solutions (16%): Model monitoring, drift detection, retraining triggers