Google Cloud Professional Machine Learning Engineer — Question 152

You are a data scientist at an industrial equipment manufacturing company. You are developing a regression model to estimate the power consumption in the company’s manufacturing plants based on sensor data collected from all of the plants. The sensors collect tens of millions of records every day. You need to schedule daily training runs for your model that use all the data collected up to the current date. You want your model to scale smoothly and require minimal development work. What should you do?

Answer options

• A. Develop a custom TensorFlow regression model, and optimize it using Vertex AI Training.
• B. Develop a regression model using BigQuery ML.
• C. Develop a custom scikit-learn regression model, and optimize it using Vertex AI Training.
• D. Develop a custom PyTorch regression model, and optimize it using Vertex AI Training.

Correct answer: B

Explanation

The correct answer is B because BigQuery ML allows for seamless handling of large datasets and simplifies the development process for regression models using SQL-like queries. The other options involve custom model development, which requires more time and effort to implement and scale effectively, making them less suitable for the requirements stated.