Databricks-Machine-Learning-Professional 試験問題を無料オンラインアクセス

Which of the following describes concept drift?

• A.Concept drift is when there is a change in the distribution of a target variable
• B.Concept drift is when there is a change in the distribution of the predicted target given by the model
• C.Concept drift is when there is a change in the distribution of an input variable
• D.Concept drift is when there is a change in the relationship between input variables and target variables
• E.None of these describe Concept drift

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?

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

A machine learning engineer is manually refreshing a model in an existing machine learning pipeline. The pipeline uses the MLflow Model Registry model "project". The machine learning engineer would like to add a new version of the model to "project".
Which of the following MLflow operations can the machine learning engineer use to accomplish this task?

• A.MlflowClient.update_registered_model
• B.mlflow.add_model_version
• C.MlflowClient.get_model_version
• D.mlflow.register_model
• E.The machine learning engineer needs to create an entirely new MLflow Model Registry model

A data scientist has computed updated feature values for all primary key values stored in the Feature Store table features. In addition, feature values for some new primary key values have also been computed. The updated feature values are stored in the DataFrame features_df. They want to replace all data in features with the newly computed data.
Which of the following code blocks can they use to perform this task using the Feature Store Client fs?

• A.
• B.
• C.
• D.
• E.

Which of the following lists all of the model stages are available in the MLflow Model Registry?

• A.Development. Staging. Production
• B.Staging. Production. Archived
• C.Development. Staging. Production. Archived
• D.None. Staging. Production
• E.None. Staging. Production. Archived