Topic 1 Question 97
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?
Train a regression model using AutoML Tables.
Develop a custom TensorFlow regression model, and optimize it using Vertex AI Training.
Develop a custom scikit-learn regression model, and optimize it using Vertex AI Training.
Develop a regression model using BigQuery ML.
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コメント(12)
- 正解だと思う選択肢: D
BigQuery ML can scale smoothly and requires minimal development work. Model can be build using SQL queries rather than writing custom code.
👍 3mil_spyro2022/12/17 - 正解だと思う選択肢: D
Answer is D, AutoML has 200M rows as limits
👍 3Ade_jr2023/01/08 - 正解だと思う選択肢: D
Vote for D A dosen't work because AutoML has limits on training data
👍 2hiromi2022/12/19
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