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Databricks Certified Machine Learning Professional (Databricks Machine Learning Professional) - Databricks Exam Questions

Last updated on June 20, 2026

97% Exam Compliance
60 Total Questions
1
Question
A data scientist wants to remove the star_rating column from the Delta table at the location path. To
do this, they need to load in data and drop the star_rating column.

Which of the following code blocks accomplishes this task?
Options
A spark.sql(“SELECT * EXCEPT star_rating FROM path”)
B spark.read.format(“delta”).table(path).drop(“star_rating”)
C spark.read.format(“delta”).load(path).drop(“star_rating”)
D Delta tables cannot be modified
E spark.read.table(path).drop(“star_rating”)
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2
Question
A machine learning engineer has registered a sklearn model in the MLflow Model Registry using the sklearn model flavor with UI model_uri.

Which of the following operations can be used to load the model as an sklearn object for batch deployment?
Options
A mlflow.sklearn.load_model(model_uri)
B mlflow.pyfunc.read_model(model_uri)
C mlflow.spark.load_model(model_uri)
D mlflow.sklearn.read_model(model_uri)
E mlflow.pyfunc.load_model(model_uri)
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3
Question
A machine learning engineer has created a webhook with the following code block:

Exhibit

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

Exhibit

A) B)
C) D)

Exhibit

E)

Exhibit

Exhibit

Exhibit
Options
A Option B
B Option A
C Option C
D Option D
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4
Question
Which of the following deployment paradigms can centrally compute predictions for a single record with exceedingly fast results?
Options
A Real-time
B Batch
C Streaming
D Edge/on-device
E None of these strategies will accomplish the task.
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5
Question
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?
Options
A mlflow.register_model(f"runs:/{run_id}/model")
B mlflow.register_model(run_id, "best_model")
C mlflow.register_model(model_uri, "best_model")
D mlflow.register_model(f"runs:/{run_id}/best_model", "model")
E mlflow.register_model(model_uri, "model")
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