Objective 1.3 Classify a Question into a Known Data Science Problem CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 9)

Questions 41–45

1. 41expert · hard

   A manufacturing plant wants to minimize production costs while meeting daily demand. They have data on machine settings, raw material costs, and production times. They also have historical data on production output and quality. The plant manager asks for a model that recommends the optimal machine settings for each day. Which problem type is this, and what is the key challenge?

   • ARegression, with the key challenge being to predict production costs from settings
   • BOptimization, with the key challenge being to find the best settings under constraints like demand and machine limits
   • CForecasting, with the key challenge being to predict future demand accurately
   • DClassification, with the key challenge being to classify settings as good or bad
   Reveal Solution Discussion Select an answer first
2. 42foundation · easy

   Which of the following is an example of discrete numerical data?

   • AThe height of a person in centimeters
   • BThe number of cars sold by a dealership in a month
   • CThe temperature in degrees Celsius
   • DThe time taken to complete a task in seconds
   Reveal Solution Discussion Select an answer first
4. 43expert · hard

   A utility company wants to forecast electricity demand for the next 24 hours to optimize power generation. They have historical hourly demand data, weather forecasts, and holiday calendars. They also have real-time sensor data from smart meters. Which combination of data sources and modeling approach is most appropriate?

   • ARegression using only smart meter data to predict demand
   • BOptimization using historical demand to minimize generation costs
   • CForecasting using historical demand, weather forecasts, and holiday data as features
   • DClassification using historical demand and weather data to label high-demand days
   Reveal Solution Discussion Select an answer first
5. 44foundation · easy

   A company wants to predict the number of units it will sell next month based on historical sales data. Which modeling type is most appropriate?

   • AClustering
   • BForecasting
   • COptimization
   • DClassification
   Reveal Solution Discussion Select an answer first
6. 45foundation · easy

   Which of the following best describes the goal of a forecasting problem?

   • ATo predict future values based on historical data
   • BTo group similar data points without labels
   • CTo assign data to predefined categories
   • DTo find the best solution under constraints
   Reveal Solution Discussion Select an answer first