Exam Professional Machine Learning Engineer topic 1 question 158 discussion - ExamTopics


A data scientist needs to develop a scalable regression model for power consumption prediction using massive sensor data, and the best solution is to use BigQuery ML.
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You are a data scientist at an industrial equipment manufacturing company. You are developing a regression model to estimate the power consumption in the companyโ€™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?

  • 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.
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Suggested Answer: B ๐Ÿ—ณ๏ธ

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