Google Cloud Professional Machine Learning Engineer — Question 240

You built a deep learning-based image classification model by using on-premises data. You want to use Vertex AI to deploy the model to production. Due to security concerns, you cannot move your data to the cloud. You are aware that the input data distribution might change over time. You need to detect model performance changes in production. What should you do?

Answer options

• A. Use Vertex Explainable AI for model explainability. Configure feature-based explanations.
• B. Use Vertex Explainable AI for model explainability. Configure example-based explanations.
• C. Create a Vertex AI Model Monitoring job. Enable training-serving skew detection for your model.
• D. Create a Vertex AI Model Monitoring job. Enable feature attribution skew and drift detection for your model.

Correct answer: D

Explanation

The correct answer is D because enabling feature attribution skew and drift detection allows you to monitor changes in the input data distribution that could affect model performance. Options A and B focus on model explainability rather than monitoring performance changes. Option C, while it does involve monitoring, does not specifically address drift detection, which is crucial for adapting to changes in input data over time.