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Data Science Capstone Project MCQ Questions and Answers | Data Science MCQs

Explore our comprehensive collection of multiple-choice questions (MCQs) on Data Science Capstone Project designed to boost your confidence and knowledge in data science. These data science MCQs are essential for data science job interviews and exams. Page-6 section-1

51
In a data science capstone project, what is the purpose of "data lineage" or "data provenance"?
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Answer & Solution
Answer: Option C
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52
Why is "error analysis" an essential component of model evaluation in a data science capstone project?
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Answer: Option C
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53
What is the significance of "feature importance" in machine learning model interpretability within a capstone project?
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Answer: Option D
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54
In a data science capstone project, why is "model deployment" often considered a challenging phase?
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Answer: Option A
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55
What is the primary objective of "data governance" in a data science capstone project?
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Answer: Option D
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56
Why is it essential to consider "model fairness" and "algorithmic bias" when deploying machine learning models in a capstone project?
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Answer: Option C
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57
What is the role of "deployment infrastructure" in a data science capstone project?
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Answer: Option B
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58
What is the primary benefit of "continuous integration" and "continuous deployment" (CI/CD) in a data science capstone project?
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Answer: Option C
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59
In a data science capstone project, why is "data security" and "privacy" important, especially for sensitive data?
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Answer: Option D
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60
What is the significance of "data storage" and "data retrieval" solutions in a data science capstone project?
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Answer: Option B
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