Describe the Business Drivers for Big Data Analytics and Data Science DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 2)

Questions 6–10

1. 6application · medium

   A hospital network collects patient vitals, lab results, and historical readmission records. An administrator wants to reduce 30-day readmission rates. She asks the analytics team to build a model that flags high-risk patients at discharge so care coordinators can intervene. What is the primary way data science supports this business problem?

   • ABy replacing the need for care coordinators with automated discharge decisions
   • BBy converting raw clinical data into a predictive risk score that guides targeted interventions
   • CBy reducing the volume of data collected so only the most recent lab result is kept
   • DBy storing patient data in a more secure database to prevent breaches
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A grocery chain wants to reduce food waste in its perishable goods section. They have data on historical sales, local events, and weather forecasts. The analytics team is asked to build a markdown optimization model that suggests when to discount items before they spoil. Which business driver is the primary focus?

   • ACustomer experience by offering loyalty rewards points
   • BCompetitive advantage by developing a new private-label brand
   • CRevenue growth by increasing the number of store locations
   • DCost reduction by minimizing spoilage and lost revenue from unsold goods
   Reveal Solution Discussion Select an answer first
4. 8foundation · medium

   A company uses real-time customer feedback data to adjust its product features. This is an example of Big Data analytics impacting which aspect of business?

   • AHuman resources management
   • BFinancial auditing
   • CIT security
   • DCustomer experience
   Reveal Solution Discussion Select an answer first
5. 9expert · hard

   A media company wants to increase ad revenue. The analytics team proposes two models. Model A predicts which users are likely to click on an ad, increasing click-through rate by 20%. Model B predicts which users are likely to subscribe to a premium service, increasing subscriptions by 10%. The ad revenue per click is $0.50, and the subscription revenue per user is $10 per month. The company has resources to deploy only one model. Which model should they deploy?

   • ADeploy both models simultaneously despite the resource constraint
   • BModel A, because a 20% increase is larger than a 10% increase
   • CModel B, because the subscription revenue per user is substantially higher than the ad revenue per click
   • DDeploy neither because the revenue projections are too uncertain
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A social media platform collects billions of user interactions daily. The product team wants to detect emerging trends before they go viral. A data scientist is hired to build a real-time anomaly detection system. Which statement best describes the relationship between the platform's Big Data and the data scientist's task?

   • ABig Data is irrelevant because trends can only be found through traditional surveys
   • BThe data is so large that the data scientist must first delete most of it to make analysis feasible
   • CThe data scientist's role is to manually review each interaction to find trends
   • DThe volume and velocity of the data create both the opportunity and the technical challenge the data scientist must solve
   Reveal Solution Discussion Select an answer first