Databricks DATABRICKS-MACHINE-LEARNING-PROFESSIONAL Online Practice Questions and Exam Preparation

Databricks DATABRICKS-MACHINE-LEARNING-PROFESSIONAL Online Questions & Answers

• Question 1:

  A machine learning engineer has created a webhook with the following code block:

  

  Which of the following code blocks will trigger this webhook to run the associate job?

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  E. Option E
  E. Option E

• Question 2:

  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
  C

• Question 3:

  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"
  D. "MODEL_VERSION_TRANSITIONED_STAGE"

• Question 4:

  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
  D. Option D

• Question 5:

  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
  B. There no changes necessary

• Question 6:

  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
  C. Option C

• Question 7:

  A machine learning engineer is using the following code block as part of a batch deployment pipeline:

  

  Which of the following changes needs to be made so this code block will work when the inference table is a stream source?

  A. Replace "inference" with the path to the location of the Delta table
  B. Replace schema(schema) with option("maxFilesPerTrigger", 1)
  C. Replace spark.read with spark.readStream
  D. Replace format("delta") with format("stream")
  E. Replace predict with a stream-friendly prediction function
  C. Replace spark.read with spark.readStream

• Question 8:

  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
  E. Option E

• Question 9:

  A data scientist has created a Python function compute_features that returns a Spark DataFrame with the following schema

  

  The resulting DataFrame is assigned to the features_df variable. The data scientist wants to create a Feature Store table using features_df. Which of the following code blocks can they use to create and populate the Feature Store table using the Feature Store Client fs?

  

  A. Option A
  B. Option B
  C. Option C
  D. Option D
  E. Option E
  A. Option A

• Question 10:

  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
  D. Option D