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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

  1. 6foundation · easy

    Which of the following is an example of a data validation check?

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  2. 7foundation · easy

    Which Snowflake function parses a string into a date using a specified format?

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  3. 8application · medium

    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?

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  4. 9foundation · easy

    Which of the following is a core data cleaning technique used to prepare raw data for analysis?

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  5. 10expert · hard

    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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