Databricks Certified Machine Learning Professional — Question 14

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 Production stage of the MLflow Model Registry.
Which of the following model URIs can be used to query the described model version?

Answer options

• A. https://<databricks-instance>/model-serving/recommender/Production/invocations
• B. The version number of the model version in Production is necessary to complete this task.
• C. https://<databricks-instance>/model/recommender/stage-production/invocations
• D. https://<databricks-instance>/model-serving/recommender/stage-production/invocations
• E. https://<databricks-instance>/model/recommender/Production/invocations

Correct answer: E

Explanation

The correct answer is E, as it properly references the Production stage of the model in the MLflow Model Registry. Options A, C, and D either use incorrect stage references or incorrect endpoint formats. Option B incorrectly suggests a requirement for a version number, which is not necessary when querying the Production stage.