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Google Professional Machine Learning Engineer exam requires hands-on experience with the following while also including advanced knowledge of machine learning and expertise in designing and implementing appropriate ML architectures: Data preprocessing, Feature engineering, Model building, Model deployment, Model monitoring, Outlier detection, Hyperparameter tuning, and Algorithm selection. The Google Professional Machine Learning Engineer certification aims to authenticate these expertise areas along with practical experience to validate oneself as a versatile, employable programming professional.

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Google Professional Machine Learning Engineer Certification Exam is designed to test the skills and knowledge of individuals who are experts in the field of machine learning. Google Professional Machine Learning Engineer certification exam is a comprehensive test that covers a wide range of topics related to machine learning, such as data preparation, model building, model deployment, and monitoring. It is intended for individuals who have experience in developing and deploying machine learning models at scale.

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

Google Professional Machine Learning Engineer certification exam is a professional certification that validates the abilities of a machine learning engineer in designing, building, and deploying scalable and efficient machine learning models on the Google Cloud Platform. Google Professional Machine Learning Engineer certification exam is designed to test the candidate's proficiency in machine learning concepts, data preprocessing, model selection, hyperparameter tuning, model evaluation, and deployment.

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