Exam Cloud Digital Leader topic 1 question 46 discussion

A is correct

A is correct

A is correct

BigQueryML uses ML + Data Science Library and is a datawarehouse that can be used for unstructred data and for making predictions. Correct answer - A

A is correct

BigQuery ML is a powerful tool within Google BigQuery that enables you to create and execute machine learning models directly using SQL queries. It allows you to build and train models using familiar SQL syntax and leverage the data stored in BigQuery for training and prediction. By using BigQuery ML, you can leverage the power of SQL and the scalability of Google BigQuery to build and deploy machine learning models directly on your data warehouse, without the need for complex data transformations or separate ML platforms.

Keywords: Standard SQL, data warehouse

A. BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries.

A. BigQuery ML

A. BigQuery ML

Answer A: https://cloud.google.com/bigquery-ml/docs/introduction#:~:text=BigQuery%20ML%20lets%20you%20create,the%20need%20to%20move%20data. BigQuery ML lets you create and execute machine learning models in BigQuery using standard SQL queries. BigQuery ML democratizes machine learning by letting SQL practitioners build models using existing SQL tools and skills. BigQuery ML increases development speed by eliminating the need to move data.

A is the correct answer.