A marketing analyst with limited coding experience wants to build a churn prediction model from a dataset with 200 features. They need to identify the most influential features without manually testing each one. What should they use?

Databricks AutoML, which automatically evaluates feature importance and selects relevant features during model training.

Principal Component Analysis (PCA) to reduce dimensionality before training.

Manual feature selection using correlation matrices and domain knowledge.

A random forest model with default parameters to infer feature importance.

DatabricksCertified Machine Learning Associate

Domain 1Objective 3

AutoML and ML Runtime MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 5)

Part of the Section 1: Databricks Machine Learning domain, which makes up ~19% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–11 in this domain), expect 2–3 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

21questions here

5free pages

4concepts

Questions 21–21

21application · medium
A marketing analyst with limited coding experience wants to build a churn prediction model from a dataset with 200 features. They need to identify the most influential features without manually testing each one. What should they use?
Select an answer first

Finished these 1 questions?

Review the revealed explanations, or continue through the curriculum.

No more pagesBack to MACHINE-LEARNING-ASSOCIATE

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Databricks. “MACHINE-LEARNING-ASSOCIATE” is a trademark of its owner, used for identification only.

AutoML and ML Runtime MACHINE-LEARNING-ASSOCIATE Practice Questions (Page 5)

Questions 21–21

A marketing analyst with limited coding experience wants to build a churn prediction model from a dataset with 200 features. They need to identify the most influential features without manually testing each one. What should they use?

Keep studying — Section 1: Databricks Machine Learning