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Understanding functional and technical aspects of Professional Machine Learning Engineer - Google ML Pipeline Automation & Orchestration
The following will be discussed in Google Professional-Machine-Learning-Engineer exam dumps:
Design pipeline. Considerations include:
- Model binary options
- Decoupling components with Cloud Build
- Model/dataset lineage
- Identification of components, parameters, triggers, and compute needs
- Orchestration framework
- Performing data validation
- Constructing and testing of parameterized pipeline definition in SDK
- Organization and tracking experiments and pipeline runs
- Hooking into model and dataset versioning
- Setup of trigger and pipeline schedule
- Implement serving pipeline
- Testing for target performance
- Hooking models into existing CI/CD deployment system
- Storing data and generated artifacts
- Implement training pipeline
- A/B and canary testing
- Google Cloud serving options
- Track and audit metadata
- Use CI/CD to test and deploy models
- Tuning compute performance
- Hybrid or multi-cloud strategies
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Professional Machine Learning Engineer - Google Certified salary
The estimated average salary of Professional Machine Learning Engineer - Google is listed below:
- United States: 114,000 USD
- England: 87,200 POUND
- India: 8,580,000 INR
- Europe: 97,000 EURO
Reference: https://cloud.google.com/certification/guides/machine-learning-engineer
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