Model Planning - Describe Details of This Phase, Including Activities and Associated Roles DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6expert · hard

   A marketing analytics team is planning a customer segmentation model. The business analyst wants to use clustering, but the data scientist notes that the data has high dimensionality and the business wants actionable segments. Which approach best addresses the trade-off during model planning?

   • AApply dimensionality reduction before clustering to improve interpretability.
   • BUse a clustering algorithm directly on the high-dimensional data.
   • CUse a supervised classification model instead of clustering.
   • DReduce the number of segments to simplify the model.
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A marketing team wants to segment customers into groups for targeted campaigns. The data science team has prepared customer data and is in the model planning phase. Which activity is most critical during this phase?

   • ACleaning the customer data to remove duplicates and missing values.
   • BDefining the number of segments and the clustering technique to use.
   • CRunning a clustering algorithm to identify customer segments.
   • DCreating a data visualization of customer demographics.
   Reveal Solution Discussion Select an answer first
4. 8expert · hard

   A financial firm is planning a credit risk model. The team has prepared data, but the business requirements are vague. The data scientist proposes a complex gradient boosting model. The business analyst wants to ensure the model aligns with business goals. What should the team do first during model planning?

   • ADeploy a simple model first and iterate based on feedback.
   • BProceed with the gradient boosting model and refine requirements later.
   • CClarify the business requirements and define measurable success criteria.
   • DCollect more data to improve the model's performance.
   Reveal Solution Discussion Select an answer first
5. 9application · medium

   A retail chain is planning a model to forecast inventory demand. The team has prepared sales data and documented the business requirement to reduce stockouts. Which input is essential for the model planning phase?

   • AA deployed model that is already forecasting demand.
   • BThe prepared sales data and the business requirements.
   • CA final report on the model's accuracy.
   • DA list of evaluation metrics, such as mean absolute error.
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A manufacturing company is planning a predictive maintenance model. The team has prepared sensor data and documented the business requirement to reduce downtime. Which input is essential for the model planning phase?

   • AA deployed model that is already predicting failures.
   • BThe prepared sensor data and the business requirements.
   • CA list of evaluation criteria, such as false positive rate and recall.
   • DA final report on model performance for stakeholders.
   Reveal Solution Discussion Select an answer first