Google Professional Machine Learning Engineer
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In your role as a Machine Learning Engineer at a large enterprise, you are tasked with developing a new AI model using AI Platform. The company has thousands of datasets stored in BigQuery, each with accurate and detailed descriptions. Given the scale of data and the need for efficiency, how would you most effectively identify the correct BigQuery table for your model's training data? Consider the following options and choose the best one. (Choose one correct option)
In your role as a Machine Learning Engineer at a large enterprise, you are tasked with developing a new AI model using AI Platform. The company has thousands of datasets stored in BigQuery, each with accurate and detailed descriptions. Given the scale of data and the need for efficiency, how would you most effectively identify the correct BigQuery table for your model's training data? Consider the following options and choose the best one. (Choose one correct option)
Real Exam
A
Implement a custom tagging system for each model and version on AI Platform, explicitly linking them to the corresponding BigQuery table names used for training.
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B
Create and maintain a separate lookup table within BigQuery that manually maps table descriptions to their respective table IDs, then query this lookup table to find the needed table ID.
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