Model Planning - Describe Details of This Phase, Including Activities and Associated Roles DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 6)

Questions 26–28

1. 26foundation · easy

   What is the primary purpose of the model planning phase in the data analytics lifecycle?

   • ATo define the analytical approach, select modeling techniques, and establish evaluation criteria before building the model.
   • BTo deploy the finished model into a production environment and monitor its performance.
   • CTo collect raw data from multiple source systems and store it in a data lake.
   • DTo create visual dashboards and reports that communicate findings to business stakeholders.
   Reveal Solution Discussion Select an answer first
2. 27foundation · easy

   During model planning, the team defines the model objectives. What does this activity primarily involve?

   • ACreating charts and graphs to visualize the raw data distribution.
   • BDetermining what the model should predict or explain and how its success will be measured.
   • CInstalling the necessary software libraries and setting up the computing environment.
   • DCollecting additional data from external vendors to enrich the dataset.
   Reveal Solution Discussion Select an answer first
3. 28expert · hard

   A healthcare organization is planning a model to predict patient readmission. The data scientist wants to use a deep learning model, but the business analyst insists on interpretability for regulatory compliance. The data engineer notes that the data is structured and moderately sized. Which decision is most appropriate during model planning?

   • AUse a simpler, interpretable model like logistic regression with feature importance analysis.
   • BUse a deep learning model and rely on post-hoc explanations like SHAP.
   • CUse a simpler model but ignore interpretability for better performance.
   • DUse a deep learning model and accept the lack of interpretability.
   Reveal Solution Discussion Select an answer first