Google Cloud Professional Machine Learning Engineer — Question 9

You built and manage a production system that is responsible for predicting sales numbers. Model accuracy is crucial, because the production model is required to keep up with market changes. Since being deployed to production, the model hasn't changed; however the accuracy of the model has steadily deteriorated.
What issue is most likely causing the steady decline in model accuracy?

Answer options

• A. Poor data quality
• B. Lack of model retraining
• C. Too few layers in the model for capturing information
• D. Incorrect data split ratio during model training, evaluation, validation, and test

Correct answer: B

Explanation

The correct answer is B, as a lack of model retraining can lead to decreased accuracy over time due to changing data patterns. Options A, C, and D may also affect model performance, but they do not directly address the issue of accuracy deterioration over time without retraining.