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Google Exam Professional-Machine-Learning-Engineer Topic 2 Question 31 Discussion

Actual exam question for Google's Google Professional Machine Learning Engineer exam
Question #: 31
Topic #: 2
[All Google Professional Machine Learning Engineer Questions]

You are building a model to predict daily temperatures. You split the data randomly and then transformed the training and test datasets. Temperature data for model training is uploaded hourly. During testing, your model performed with 97% accuracy; however, after deploying to production, the model's accuracy dropped to 66%. How can you make your production model more accurate?

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Suggested Answer: D

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