51. In a data science capstone project, what is the purpose of "data lineage" or "data provenance"? A. Create more project documentation B. Replace data exploration C. Track data sources and transformations D. Choose the mentor Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
52. Why is "error analysis" an essential component of model evaluation in a data science capstone project? A. Data preprocessing B. Model deployment C. Identify model weaknesses and improvements D. Visualize data distributions Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
53. What is the significance of "feature importance" in machine learning model interpretability within a capstone project? A. Add complexity to the project B. Replace data exploration C. Choose the mentor D. Identify the most influential features Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
54. In a data science capstone project, why is "model deployment" often considered a challenging phase? A. Integration with production systems B. Writing the project proposal C. Selecting the programming language D. Visualizing data distributions Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option A No explanation is given for this question Let's Discuss on Board
55. What is the primary objective of "data governance" in a data science capstone project? A. Speed up the project B. Replace data exploration C. Enhance model interpretability D. Ensure data quality and compliance Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
56. Why is it essential to consider "model fairness" and "algorithmic bias" when deploying machine learning models in a capstone project? A. Create more project documentation B. Replace data exploration C. Prevent biased or unfair outcomes D. Choose the mentor Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
57. What is the role of "deployment infrastructure" in a data science capstone project? A. Model evaluation and refinement B. Provide a platform for model deployment C. Data preprocessing D. Model evaluation and refinement Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
58. What is the primary benefit of "continuous integration" and "continuous deployment" (CI/CD) in a data science capstone project? A. Choose the mentor B. Replace data exploration C. Automate testing and deployment D. Enhance model complexity Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option C No explanation is given for this question Let's Discuss on Board
59. In a data science capstone project, why is "data security" and "privacy" important, especially for sensitive data? A. Add complexity to the project B. Replace data exploration C. Speed up the project D. Protect against data breaches and misuse Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option D No explanation is given for this question Let's Discuss on Board
60. What is the significance of "data storage" and "data retrieval" solutions in a data science capstone project? A. Conduct data exploration B. Efficiently manage and access data C. Simplify the project report D. Conduct data exploration Answer & Solution Discuss in Board Save for Later Answer & Solution Answer: Option B No explanation is given for this question Let's Discuss on Board
