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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-3 section-1

Each section contains 100 MCQs on Data Collection and Preprocessing .
21
What is the term for the process of converting data into a structured format suitable for analysis and storage?
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Answer & Solution
Answer: Option B
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22
Which data collection method involves gathering data by directly interacting with subjects or participants?
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Answer & Solution
Answer: Option C
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23
What is the purpose of feature engineering in data preprocessing?
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Answer & Solution
Answer: Option B
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24
Which of the following is NOT a common data preprocessing technique?
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Answer: Option D
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25
In data collection, what is the term for data that has not been processed or analyzed and is in its original form?
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Answer: Option A
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26
What is the term for the process of selecting a representative subset of a larger dataset for analysis?
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Answer: Option A
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27
Which data preprocessing step involves checking for and handling duplicate records in a dataset?
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Answer: Option A
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28
What is the primary goal of data preprocessing in the context of machine learning?
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Answer: Option B
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29
In data preprocessing, what is the term for the process of converting categorical data into binary format?
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Answer: Option A
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30
What is the term for the process of handling missing data in a dataset by estimating values based on available data?
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Answer & Solution
Answer: Option A
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