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Topics of Professional Machine Learning Engineer - Google

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Data Preparation and Processing
ML Pipeline Automation & Orchestration
ML Model Development
ML Solution Monitoring, Optimization, and Maintenance
ML Problem Framing
ML Solution Architecture

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Professional Machine Learning Engineer - Google Certified salary

The estimated average salary of Professional Machine Learning Engineer - Google is listed below:

Europe: 97,000 EURO
England: 87,200 POUND
United States: 114,000 USD
India: 8,580,000 INR

Reference: https://cloud.google.com/certification/guides/machine-learning-engineer

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What is the duration, language, and format of Professional Machine Learning Engineer - Google

Type of Questions: Multiple choice (MCQs), multiple answers
No negative marking for wrong answers
Language of Exam: English, Japanese, Korean
Duration of Exam: 120 minutes

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Google Professional-Machine-Learning-Engineer Exam Syllabus Topics:

Section	Objectives
Monitoring ML solutions	- Performance monitoring and drift detection - Model retraining strategies - Logging and alerting (Cloud Monitoring)
Collaborating within and across teams to manage data and models	- Collaboration between Data Scientists, Data Engineers, and ML Engineers - Version control and reproducibility (e.g., DVC, MLOps) - Data management and governance
Automating and orchestrating ML pipelines	- Vertex AI Pipelines (Kubeflow Pipelines) - CI/CD for ML systems - Triggering and scheduling pipelines
Serving and scaling models	- Model optimization (Quantization, Distillation) - Batch prediction - Hardware accelerators (GPU/TPU) in serving - Online prediction (Vertex AI Prediction)
Architecting low-code ML solutions	- Implementing BigQuery ML for basic models - Leveraging pre-built ML models as a service (e.g., Vision AI, Speech-to-Text, Recommendations AI) - AutoML capabilities and implementation
Scaling prototypes into ML models	- Hyperparameter tuning - Training at scale (Distributed training, TPUs) - Frameworks (TensorFlow, PyTorch, JAX, Scikit-learn)