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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:

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

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Understanding functional and technical aspects of Professional Machine Learning Engineer - Google Data Preparation and Processing

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

• Build data pipelines
• Class imbalance
• Data ingestion
• Data exploration (EDA)
• Database migration
• Encoding structured data types
• Design data pipelines
• Transformations (TensorFlow Transform)
• Statistical fundamentals at scale
• Feature engineering
• Handling missing data
• Feature selection
• Batching and streaming data pipelines at scale
• Data privacy and compliance
• Ingestion of various file types (e.g. Csv, json, img, parquet or databases, Hadoop/Spark)
• Managing large samples (TFRecords)
• Data leakage and augmentation
• Feature crosses
• Evaluation of data quality and feasibility
• Streaming data (e.g. from IoT devices)
• Visualization
• Handling outliers
• Monitoring/changing deployed pipelines
• Data validation

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

Topics of Professional Machine Learning Engineer - Google

Candidates must know the exam topics before they start preparation. Because it will help them in hitting the core. Google Professional-Machine-Learning-Engineer exam dumps pdf will include the following topics:

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

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