Google Professional Machine Learning Engineer
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Ultimate access to all questions.
Ultimate access to all questions.
You recently joined an enterprise-scale company that has thousands of datasets stored in BigQuery. The datasets have detailed descriptions, and you need to find the appropriate BigQuery table to use for building a machine learning model on Google Cloud AI Platform. Considering the scale and complexity of the datasets, what is the most efficient method to locate the data you need?
Explanation:
The most efficient way to locate the data you need within thousands of datasets in BigQuery is to use Data Catalog. Data Catalog allows you to search BigQuery datasets using keywords in the table description, which leverages the detailed descriptions already present for each table. This method is streamlined and scalable for an enterprise-scale company with a large volume of data, making it the best choice among the given options.