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Databricks Databricks-Machine-Learning-Professional Exam With Confidence Using Practice Dumps

Exam Code:
Databricks-Machine-Learning-Professional
Exam Name:
Databricks Certified Machine Learning Professional
Certification:
Vendor:
Questions:
60
Last Updated:
Jul 3, 2025
Exam Status:
Stable
Databricks Databricks-Machine-Learning-Professional

Databricks-Machine-Learning-Professional: ML Data Scientist Exam 2025 Study Guide Pdf and Test Engine

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Databricks Certified Machine Learning Professional Questions and Answers

Question 1

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.read.format(“delta”).load(path).drop(“star_rating”)

B.

spark.read.format(“delta”).table(path).drop(“star_rating”)

C.

Delta tables cannot be modified

D.

spark.read.table(path).drop(“star_rating”)

E.

spark.sql(“SELECT * EXCEPT star_rating FROM path”)

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Question 2

A data scientist has developed and logged a scikit-learn random forest model model, and then they ended their Spark session and terminated their cluster. After starting a new cluster, they want to review the feature_importances_ of the original model object.

Which of the following lines of code can be used to restore the model object so that feature_importances_ is available?

Options:

A.

mlflow.load_model(model_uri)

B.

client.list_artifacts(run_id)["feature-importances.csv"]

C.

mlflow.sklearn.load_model(model_uri)

D.

This can only be viewed in the MLflow Experiments UI

E.

client.pyfunc.load_model(model_uri)

Question 3

Which of the following MLflow Model Registry use cases requires the use of an HTTP Webhook?

Options:

A.

Starting a testing job when a new model is registered

B.

Updatingdata in a source table for a Databricks SQL dashboard when a model version transitions to the Production stage

C.

Sending an email alert when an automated testing Job fails

D.

None of these use cases require the use of an HTTP Webhook

E.

Sending a message to a Slack channel when a model version transitions stages