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Career Bonuses

The Google Professional Machine Learning Engineer certification proves that the successful candidates possess sufficient knowledge and skills to design and create scalable solutions for optimal performance. Some of the job roles that these individuals can consider include a Data Engineer, a Senior Data Engineer, a Machine Learning Engineer, a Technical Solutions Engineer, a Software Engineer, and a Cloud Infrastructure Engineer, among others. The median salary that the certificate holders can count on is around $140,000 per annum.

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

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Understanding functional and technical aspects of Professional Machine Learning Engineer - Google ML Solution Architecture

The following will be discussed in Google Professional-Machine-Learning-Engineer exam dumps:

• Choose appropriate Google Cloud hardware components
• Building secure ML systems
• Design architecture that complies with regulatory and security concerns
• Feature engineering
• Automation
• Identifying potential regulatory issues
• A variety of component types - data collection; data management
• Automation of data preparation and model training/deployment
• Data connections
• Serving
• Optimizing data use and storage
• Selection of quotas and compute/accelerators with components
• Choose appropriate Google Cloud software components
• Design reliable, scalable, highly available ML solution
• Exploration/analysis
• SDLC best practices
• Logging/management
• Privacy implications of data usage
• Monitoring

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