Question 41 · 88 in bank
Which of the following is a simple, low-cost method of monitoring numeric feature drift?
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Answer: B
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Question 42 · 88 in bank
A data scientist wants to track the runs of their random forest model. The data scientist is changing the number of trees and the maximum depth of the trees in the forest across each run. They write the following code block:
Which Python object type does params need to be an instance of?
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Answer: C
Question 43 · 88 in bank
A machine learning engineer is converting a Hyperopt-based hyperparameter tuning process from manual MLflow logging to MLflow Autologging. They notice that not all details and objects are automatically logged, and they will need to manually log some things. Which of the following will need to be manually logged when performing nested runs with Hyperopt and MLflow Autologging?
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Answer: C
Question 44 · 88 in bank
A machine learning engineer wants to programmatically create a new Databricks Job whose schedule depends on the result of some automated tests in a machine learning pipeline. Which of the following Databricks tools can be used to programmatically create the Job?
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Answer: E
Question 45 · 88 in bank
Which of the following MLflow operations can be used to delete a model from the MLflow Model Registry?
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Answer: E
Question 46 · 88 in bank
Which of the following Databricks-managed MLflow capabilities is a centralized model store?
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Answer: B
Question 47 · 88 in bank
Which of the following MLflow Model Registry use cases requires the use of an HTTP Webhook?
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Answer: E
Question 48 · 88 in bank
Which of the following lists all of the model stages are available in the MLflow Model Registry?
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Answer: D
Question 49 · 88 in bank
A machine learning engineer is migrating a machine learning pipeline to use Databricks Machine Learning. They have programmatically identified the best run from an MLflow Experiment and stored its URI in the model_uri variable and its Run ID in the run_id variable. They have also determined that the model was logged with the name "model". Now, the machine learning engineer wants to register that model in the MLflow Model Registry with the name "best_model". Which of the following lines of code can they use to register the model to the MLflow Model Registry?
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Answer: A
Question 50 · 88 in bank
A machine learning engineer needs to select a deployment strategy for a new machine learning application. The feature values are not available until the time of delivery, and results are needed exceedingly fast for one record at a time. Which of the following deployment strategies can be used to meet these requirements?
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Answer: E
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