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Prerequisites
The Google Professional Machine Learning Engineer certification exam has no formal prerequisites. However, it is pretty hard to pass this test without having solid practical background. The candidates are recommended to have at least three years of industry experience, involving about one year of experience in designing and managing solutions with the help of Google Cloud. The target individuals can take advantage of Google Cloud Free Tier to use the selected products free of charge and gain the real-world expertise.
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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:
- Organization and tracking experiments and pipeline runs
- Model/dataset lineage
- Track and audit metadata
- Use CI/CD to test and deploy models
- Storing data and generated artifacts
- Hooking into model and dataset versioning
- Orchestration framework
- Hooking models into existing CI/CD deployment system
- Decoupling components with Cloud Build
- Identification of components, parameters, triggers, and compute needs
- Performing data validation
- Model binary options
- Google Cloud serving options
- Setup of trigger and pipeline schedule
- Testing for target performance
- A/B and canary testing
- Implement training pipeline
- Implement serving pipeline
- Hybrid or multi-cloud strategies
- Tuning compute performance
- Constructing and testing of parameterized pipeline definition in SDK
For more info read reference:
Reference: https://cloud.google.com/certification/guides/machine-learning-engineer
How much Professional Machine Learning Engineer - Google Cost
The cost of the Professional Machine Learning Engineer - Google is $200. For more information related to exam price, please visit the official website Google Website as the cost of exams may be subjected to vary county-wise.
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