
SnowflakeSnowPro Advanced — Data Scientist
Domain 3Objective 1
Prepare and Clean Data SNOWPRO-ADVANCED-DATA-SCIENTIST Practice Questions (Page 2)
Part of the Data Preparation and Feature Engineering domain, which makes up ~26% of our current practice bank.
22questions here
5free pages
10concepts
Questions 6–10
- 6
Which of the following is an example of a data validation check?
Select an answer first - 7
Which Snowflake function parses a string into a date using a specified format?
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A data scientist is building a topic modeling model on a corpus of news articles. The scientist wants to reduce the feature space and improve model performance. Which text preprocessing step is most appropriate?
Select an answer first - 9
Which of the following is a core data cleaning technique used to prepare raw data for analysis?
Select an answer first - 10
A data scientist is working with a dataset that has a 'birth_date' column stored as a string in various formats (e.g., '1990-01-15', '01/15/1990', 'Jan 15, 1990'). The scientist needs to calculate age as of a fixed reference date. What is the most appropriate approach?
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