Google Cloud Professional Machine Learning Engineer PMLE — Topic 1 Question 188

Question

You work at a bank. You have a custom tabular ML model that was provided by the bank’s vendor. The training data is not available due to its sensitivity. The model is packaged as a Vertex AI Model serving container, which accepts a string as input for each prediction instance. In each string, the feature values are separated by commas. You want to deploy this model to production for online predictions and monitor the feature distribution over time with minimal effort. What should you do?

Accepted Answer

Correct answer: A. The correct answer is A. Option A: 1. Upload the model to Vertex AI Model Registry, and deploy the model to a Vertex AI endpoint2. Create a Vertex AI Model Monitoring job with feature drift detection as the monitoring objective, and provide an instance... Vertex AI is the unified managed platform to build, train, tune, deploy, and operate ML models.

Google Cloud Professional Machine Learning Engineer PMLE — Question 188