
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
- 11
Which of the following is an example of noise that should be removed during preprocessing?
Select an answer first - 12
What is the primary goal of noise removal in text preprocessing?
Select an answer first - 13
When might it be beneficial to convert numbers to words in text preprocessing?
Select an answer first - 14
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?
Select an answer first - 15
In text preprocessing, what does handling numbers typically involve?
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