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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:

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

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

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The Google Professional Machine Learning Engineer certification is developed to validate the ability of the specialists to design, build, and productionize the Machine Learning models to solve business challenges with the help of Google Cloud technologies as well as their knowledge of the proven Machine Learning models & techniques. Specifically, this certificate equips the candidates with an understanding of all the aspects related to data pipeline interaction, model architecture, as well as metrics interpretation. It also provides the target individuals with the comprehension of the basic concepts of application development, data engineering, infrastructure management, and data governance. To get certified, the individuals need to take one qualifying exam.

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Professional Machine Learning Engineer - Google Certification Path

The associate level certification is focused on the fundamental skills of deploying, monitoring, and maintaining projects on Google Cloud. This certification is a good starting point for those new to cloud and can be used as a path to professional level certifications.

Professional certifications span key technical job functions and assess advanced skills in design, implementation, and management. These certifications are recommended for individuals with industry experience and familiarity with Google Cloud products and solutions.