DATABRICKS-MACHINE-LEARNING-PROFESSIONAL Online Practice Questions and Answers

Which of the following operations in Feature Store Client fs can be used to return a Spark DataFrame of a data set associated with a Feature Store table?

A. fs.create_table

B. fs.write_table

C. fs.get_table

D. There is no way to accomplish this task with fs

E. fs.read_table

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 machine learning model deployment paradigms is the most common for machine learning projects?

A. On-device

B. Streaming

C. Real-time

D. Batch

E. None of these deployments

A data scientist has developed a scikit-learn random forest model model, but they have not yet logged model with MLflow. They want to obtain the input schema and the output schema of the model so they can document what type of data is

expected as input.

Which of the following MLflow operations can be used to perform this task?

A. mlflow.models.schema.infer_schema

B. mlflow.models.signature.infer_signature

C. mlflow.models.Model.get_input_schema

D. mlflow.models.Model.signature

E. There is no way to obtain the input schema and the output schema of an unlogged model.

Which of the following tools can assist in real-time deployments by packaging software with its own application, tools, and libraries?

A. Cloud-based compute

B. None of these tools

C. REST APIs

D. Containers

E. Autoscaling clusters

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

A. Development, Staging, Production

B. None, Staging, Production

C. Staging, Production, Archived

D. None, Staging, Production, Archived

E. Development, Staging, Production, Archived

A machine learning engineer has developed a random forest model using scikit-learn, logged the model using MLflow as random_forest_model, and stored its run ID in the run_id Python variable. They now want to deploy that model by performing batch inference on a Spark DataFrame spark_df.

Which of the following code blocks can they use to create a function called predict that they can use to complete the task?

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. At the same time, they would like to archive any model versions that are already in the Production stage.

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 engineer is attempting to create a webhook that will trigger a Databricks Job job_id when a model version for model model transitions into any MLflow Model Registry stage. They have the following incomplete code block:

Which of the following lines of code can be used to fill in the blank so that the code block accomplishes the task?

A. "MODEL_VERSION_CREATED"

B. "MODEL_VERSION_TRANSITIONED_TO_PRODUCTION"

C. "MODEL_VERSION_TRANSITIONED_TO_STAGING"

D. "MODEL_VERSION_TRANSITIONED_STAGE"

E. "MODEL_VERSION_TRANSITIONED_TO_STAGING", "MODEL_VERSION_TRANSITIONED_TO_PRODUCTION"

A machine learning engineer wants to view all of the active MLflow Model Registry Webhooks for a specific model. They are using the following code block:

Which of the following changes does the machine learning engineer need to make to this code block so it will successfully accomplish the task?

A. There are no necessary changes

B. Replace list with view in the endpoint URL

C. Replace POST with GET in the call to http_request

D. Replace list with webhooks in the endpoint URL

E. Replace POST with PUT in the call to http_request