Which of the following is a probable response to identifying drift in a machine learning application?

A. None of these responses

B. Retraining and deploying a model on more recent data

C. All of these responses

D. Rebuilding the machine learning application with a new label variable

E. Sunsetting the machine learning application

Which of the following describes the concept of MLflow Model flavors?

A. A convention that deployment tools can use to wrap preprocessing logic into a Model

B. A convention that MLflow Model Registry can use to version models

C. A convention that MLflow Experiments can use to organize their Runs by project

D. A convention that deployment tools can use to understand the model

E. A convention that MLflow Model Registry can use to organize its Models by project

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. Option A

B. Option B

C. Option C

D. Option D

E. Option E

A machine learning engineer wants to move their model version model_version for the MLflow Model Registry model model from the Staging stage to the Production stage using MLflow Client client. Which of the following code blocks can they use to accomplish the task?

A. Option A

B. Option B

C. Option C

D. Option D

E. Option E

A machine learning engineering manager has asked all of the engineers on their team to add text descriptions to each of the model projects in the MLflow Model Registry. They are starting with the model project "model" and they'd like to add

the text in the model_description variable.

The team is using the following line of code:

Which of the following changes does the team need to make to the above code block to accomplish the task?

A. Replace update_registered_model with update_model_version

B. There no changes necessary

C. Replace description with artifact

D. Replace client.update_registered_model with mlflow

E. Add a Python model as an argument to update_registered_model