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Prepare for the Databricks Certified Machine Learning Professional exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.
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The questions for Databricks-Machine-Learning-Professional were last updated on Jan 17, 2025.
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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)
B)
It is not possible to deploy a scikit-learn model on a Spark DataFrame.
C)
D)
E)
Which of the following machine learning model deployment paradigms is the most common for machine learning projects?
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 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 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)
B)
C)
D)
E)
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