Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 275

Question

You have trained an XGBoost model that you plan to deploy on Vertex AI for online prediction. You are now uploading your model to Vertex AI Model Registry, and you need to configure the explanation method that will serve online prediction requests to be returned with minimal latency. You also want to be alerted when feature attributions of the model meaningfully change over time. What should you do?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: 1. Specify sampled Shapley as the explanation method with a path count of 5.2. Deploy the model to Vertex AI Endpoints.3. Create a Model Monitoring job that uses prediction drift as the monitoring objective. Vertex AI is the unified managed platform to build, train, tune, deploy, and operate ML models.

Google Cloud Professional Machine Learning Engineer PMLE — Question 275