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Dell Data Science Optimize

Domain 3Objective 2

Text Preprocessing DATA-SCIENCE-OPTIMIZE Practice Questions (Page 3)

Part of the Natural Language Processing (NLP) domain, which accounts for 20% of the DATA-SCIENCE-OPTIMIZE exam.

44questions here
9free pages
15concepts
20%of the exam

Questions 11–15

  1. 11foundation · easy

    Which of the following is an example of noise that should be removed during preprocessing?

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  2. 12foundation · easy

    What is the primary goal of noise removal in text preprocessing?

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  3. 13foundation · easy

    When might it be beneficial to convert numbers to words in text preprocessing?

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  4. 14application · medium

    A team is building a language model for code-mixed social media posts (e.g., 'I love this movie, yaar'). They want to capture phrases like 'love this' and 'this movie' while ignoring common words. Which approach should they use?

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  5. 15foundation · easy

    In text preprocessing, what does handling numbers typically involve?

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