Google Cloud Professional Machine Learning Engineer — Question 267

You are training models in Vertex AI by using data that spans across multiple Google Cloud projects. You need to find, track, and compare the performance of the different versions of your models. Which Google Cloud services should you include in your ML workflow?

Answer options

• A. Dataplex, Vertex AI Feature Store, and Vertex AI TensorBoard
• B. Vertex AI Pipelines, Vertex AI Feature Store, and Vertex AI Experiments
• C. Dataplex, Vertex AI Experiments, and Vertex AI ML Metadata
• D. Vertex AI Pipelines, Vertex AI Experiments, and Vertex AI Metadata

Correct answer: C

Explanation

The correct answer is C because Dataplex helps manage and govern data, Vertex AI Experiments tracks the performance of different model versions, and Vertex AI ML Metadata stores the metadata associated with models and experiments. The other options either include services that do not specifically track model performance or lack the necessary components for comprehensive model management.