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

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

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 ML Problem Framing

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

• Assessing data readiness
• Define ML problem
• Assessing ML solution readiness
• Defining output use
• Identify risks to feasibility and implementation of ML solution. Considerations include:
• Aligning with Google AI principles and practices (e.g. different biases)
• Key results
• Defining business problems
• Success metrics
• Identifying nonML solutions
• Defining the input (features) and predicted output format
• Managing incorrect results
• Determination of when a model is deemed unsuccessful
• Defining outcome of model predictions
• Identifying data sources
• Assessing and communicating business impact
• Defining problem type (classification, regression, clustering, etc.)
• Define business success criteria

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