Free Databricks Databricks-Machine-Learning-Professional Exam Dumps Questions & Answers

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.  Replace POST with GET in the call to http request
• B.  Replace list with view in the endpoint URL
• C.  Replace list with webhooks in the endpoint URL
• D.  There are no necessary changes
• E.  Replace POST with PUT in the call to http request

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 change does the team need to make to the above code block to accomplish the task?

• A.  There no changes necessary
• B.  Replace client.update_registered_model with mlflow
• C.  Add a Python model as an argument to update_registered_model
• D.  Replace description with artifact
• E.  Replace update_registered_model with update_model_version

Which deployment paradigm can centrally compute predictions for a single record with exceedingly fast results?

• A.  None of these strategies will accomplish the task.
• B.  Streaming
• C.  Batch
• D.  Edge/on-device
• E.  Real-time

Label drift occurs where there is a change in which element?

• A.  The distribution of a target variable
• B.  The distribution of the predicted target given by the model
• C.  The relationship between input variables and target variables
• D.  The distribution of an input variable

A machine learning engineer wants to load the data from the very first version of a Delta table from location path. Which of the following lines of code can be used to accomplish this task?

• A.  spark.read.format("delta").option("versionAsOf", 0).load(path)
• B.  spark.read.format("delta").option("versionAsOf", 1).load(path)
• C.  spark.read.format("delta").option("version", 1).load(path)
• D.  spark.read.format("delta").option("version", 0).load(path)