DatabricksCertified Machine Learning Professional
Domain 1Objective 1
Using Spark ML MACHINE-LEARNING-PROFESSIONAL Practice Questions (Page 5)
Part of the Model Development domain, which accounts for 44% of the MACHINE-LEARNING-PROFESSIONAL exam. Databricks does not publish an official question count, but from its 120-minute exam (~50–80 total, ~22–35 in this domain), expect 6–9 from this objective — we provide 22 practice questions to prepare you well beyond it. (estimate)
22questions here
5free pages
7concepts
44%of the exam
Questions 21–22
- 21
A data scientist has a DataFrame with a column `text` containing customer reviews. They want to build a pipeline that converts the text into a TF-IDF vector and trains a NaiveBayes classifier. What is the correct sequence of stages?
Select an answer first - 22
A data scientist needs to convert a categorical column 'color' with values like 'red', 'green', and 'blue' into numeric features for a linear model. Which SparkML transformer is most appropriate?
Select an answer first
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