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Data Collection and Preprocessing MCQ Questions and Answers | Data Science MCQs

Explore our comprehensive collection of multiple-choice questions (MCQs) on Data Collection and Preprocessing designed to boost your confidence and knowledge in data science. These data science MCQs are essential for data science job interviews and exams. Page-2 section-1

Each section contains 100 MCQs on Data Collection and Preprocessing .
11
Which type of data collection method involves asking questions to gather information from respondents?
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Answer & Solution
Answer: Option C
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12
What is the process of transforming categorical data into numerical values called?
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Answer: Option A
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13
Which of the following is NOT a common step in data preprocessing?
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Answer: Option B
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14
In data preprocessing, what is the term for the identification and removal of duplicate or redundant data?
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Answer & Solution
Answer: Option A
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15
Which of the following is a common technique for handling imbalanced data in classification problems?
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Answer & Solution
Answer: Option A
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16
What is the process of converting text data into a numerical format so that it can be used in machine learning algorithms called?
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Answer: Option B
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17
Which data collection method involves selecting a sample from a larger population and collecting data from the sample only?
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Answer & Solution
Answer: Option D
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18
In data preprocessing, what is the purpose of data scaling or normalization?
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Answer: Option B
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19
What type of data collection method involves manipulating one or more variables to observe their effects on other variables?
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Answer & Solution
Answer: Option C
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20
Which of the following is a common technique for handling outliers in a dataset?
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Answer & Solution
Answer: Option D
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