Databricks Certified Machine Learning Professional — Question 75

A machine learning engineer has deployed a model recommender using MLflow Model Serving. They now want to query the version of that model that is in the Staging stage of the MLflow Model Registry.

Which model URI can be used to query the described model version?

Answer options

• A. The version number of the model version in Production is necessary to complete this task.
• B. https:///model-serving/recommender/Staging/invocations
• C. It is not possible to query a model version in the Staging stage.
• D. https:///model/recommender/Staging/invocations

Correct answer: D

Explanation

The correct answer is D because it provides the accurate URI format needed to access the model in the Staging stage. Option A is incorrect as it references the Production stage, which is not relevant to the query for Staging. Option B is also wrong; it uses the incorrect endpoint for model access, while Option C falsely claims that querying a model version in Staging is impossible.