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

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 Data Preparation and Processing

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

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

What is the duration, language, and format of Professional Machine Learning Engineer - Google

• Duration of Exam: 120 minutes
• No negative marking for wrong answers
• Type of Questions: Multiple choice (MCQs), multiple answers
• Language of Exam: English, Japanese, Korean

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