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

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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:

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

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

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