Objective 1.1 Describe How Artificial Intelligence and Machine Learning Are Used to Solve Business (including Commercial, Government, Public Interest, and Research) Problems AIP-210 Practice Questions (Page 2)

Questions 6–10

1. 6foundation · easy

   Which of the following is a government application of AI/ML?

   • APredicting customer churn for a telecom company
   • BRecommending products to online shoppers
   • CAnalyzing social media sentiment for a brand
   • DPredicting areas at risk of flooding to allocate emergency resources
   Reveal Solution Discussion Select an answer first
2. 7application · medium

   A non-profit organization monitors deforestation in a large rainforest region. They currently rely on field rangers to report illegal logging, which is slow and dangerous. They have access to high-resolution satellite imagery of the region, updated weekly. Which AI/ML solution would most effectively help them achieve their goal of detecting illegal logging activity sooner?

   • ADeploy a predictive model to forecast future deforestation rates based on historical economic data.
   • BImplement a rule-based system that alerts rangers whenever a large area of green pixels changes to brown in the imagery.
   • CUse a natural language processing model to analyze social media posts for mentions of logging activity.
   • DTrain a computer vision model to identify recent clear-cutting or logging roads in the satellite imagery and flag new detections for ranger verification.
   Reveal Solution Discussion Select an answer first
4. 8application · medium

   A bank wants to automate the approval process for small business loans. They have historical data on loan applications, including financial statements, credit scores, and the final outcome (approved or defaulted). They want to reduce the time it takes to make a decision while maintaining accuracy. Which AI/ML approach is most appropriate?

   • AUse a recommendation system to suggest which loan products to offer to each applicant.
   • BUse a natural language processing model to read the loan application text and make a decision based on sentiment.
   • CTrain a supervised classification model on the historical data to predict the probability of default for new applications.
   • DUse a clustering algorithm to group similar loan applications and approve all applications in the group with the best historical performance.
   Reveal Solution Discussion Select an answer first
5. 9foundation · easy

   A non-profit organization uses ML to analyze satellite imagery to detect deforestation in near real-time. This is an example of AI/ML for:

   • APublic interest
   • BGovernment policy analysis
   • CResearch only
   • DCommercial profit
   Reveal Solution Discussion Select an answer first
6. 10application · medium

   A regional grocery chain wants to reduce perishable food waste. Currently, store managers manually order produce based on experience, leading to overstocking on slow days and stockouts on weekends. The chain has 5 years of historical sales, weather, and local event data. They want a system that automatically suggests order quantities for each store daily. Which AI/ML approach best addresses this business problem?

   • AImplement a rule-based system that orders a fixed percentage above last week's sales for every store.
   • BDeploy a computer vision model on store cameras to count customers and estimate when shelves are empty.
   • CTrain a time-series forecasting model per store to predict daily demand, then use the predictions to generate order suggestions.
   • DUse a recommendation engine to suggest popular products to customers to increase sales of perishable items.
   Reveal Solution Discussion Select an answer first