CERTIFIED-MACHINE-LEARNING-PROFESSIONAL · Question #13
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.
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Question
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?
Options
- Ahttps://<databricks-instance>/model-serving/recommender/Production/invocations
- BThe version number of the model version in Production is necessary to complete this task.
- Chttps://<databricks-instance>/model/recommender/stage-production/invocations
- Dhttps://<databricks-instance>/model-serving/recommender/stage-production/invocations
- Ehttps://<databricks-instance>/model/recommender/Production/invocations
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