Describe the Business Drivers for Big Data Analytics and Data Science DATA-SCIENCE-FOUNDATIONS Practice Questions (Page 3)

Questions 11–15

1. 11application · medium

   A telecom company is losing customers to competitors. The marketing VP has historical data on customer usage, billing history, and support calls, but no clear understanding of why churn happens. She asks the data science team to analyze this data and identify the top three factors that predict customer cancellation. What is the primary role of data science in this request?

   • ATo guarantee that no customer will churn after the analysis is complete
   • BTo replace the existing customer relationship management system with a new database
   • CTo collect new data from customer surveys before any analysis can begin
   • DTo extract actionable insights from historical data that inform retention strategies
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2. 12application · medium

   A manufacturing company wants to shift from reactive maintenance to predictive maintenance. They install IoT sensors on machinery to collect vibration and temperature data continuously. The leadership team expects this to reduce unplanned downtime and extend equipment life. How does this initiative impact business strategy?

   • AIt only affects the IT department's budget and has no strategic impact
   • BIt eliminates the need for the maintenance department entirely
   • CIt changes the operational strategy from cost-center maintenance to a data-driven competitive advantage
   • DIt forces the company to sell its sensor data to third parties for revenue
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4. 13foundation · medium

   Which statement best describes the relationship between Big Data and data science?

   • ABig Data is a methodology that data science uses to collect data
   • BBig Data creates challenges that data science addresses through analytical methods
   • CData science is only concerned with structured data, while Big Data is unstructured
   • DData science is a technology used to store Big Data
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5. 14foundation · medium

   What is the primary role of data science in a business context?

   • ATo write marketing copy based on customer data
   • BTo replace the need for business analysts
   • CTo manage the company's data storage infrastructure
   • DTo extract insights from data that support decision-making and solve business problems
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6. 15application · medium

   An e-commerce company has a high volume of clickstream data, but the marketing team only uses weekly summary reports. A data scientist proposes building a real-time recommendation engine. Which statement best explains why the Big Data itself is not sufficient to achieve the recommendation goal?

   • AThe data is only available in weekly summaries, so real-time analysis is impossible
   • BThe data is too large to be stored on any available storage system
   • CThe data must be processed and modeled with analytical methods to produce useful recommendations
   • DThe data is unstructured and therefore cannot be used for any business purpose
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