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 4)

Questions 16–20

1. 16foundation · easy

   A government agency uses ML to analyze traffic patterns and optimize the timing of traffic lights to reduce congestion. This is an example of AI/ML in:

   • APublic safety
   • BPolicy analysis
   • CResource allocation
   • DFraud detection
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A materials science lab is trying to discover a new alloy with high strength and low weight. They have data from thousands of past experiments on different combinations of metals and their resulting properties. Running a new physical experiment is costly. How can ML accelerate this research?

   • AUse a clustering algorithm to group similar alloys and physically test one from each group.
   • BUse a large language model to read research papers and write a summary of potential alloys.
   • CTrain a model on the experimental data to predict the properties of new metal combinations, and use it to screen many candidates virtually.
   • DUse a reinforcement learning agent to randomly try new combinations in the lab to learn which ones work.
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   A company implements an ML model to automate the review of loan applications. What is a primary value proposition of this solution?

   • AGuaranteed approval of all loan applications
   • BElimination of all human oversight
   • CImmediate reduction of all operational costs to zero
   • DIncreased efficiency by reducing manual review time
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   When translating a business problem into an ML problem, which of the following is a key component of problem framing?

   • AChoosing the cloud provider
   • BSelecting the programming language for implementation
   • CDesigning the user interface for the application
   • DDefining the success metrics
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A public health agency wants to predict which regions are most at risk of a disease outbreak next season. They have historical data on infection rates, climate, population density, and travel patterns. How can ML help them allocate resources for prevention?

   • AUse a computer vision model to analyze satellite images of the regions to find signs of poor sanitation.
   • BTrain a predictive model on historical data to forecast outbreak risk by region, and use the risk scores to prioritize resource allocation.
   • CUse a large language model to read news articles about recent outbreaks and summarize the risk.
   • DUse a clustering algorithm to group regions with similar climate and allocate equal resources to each group.
   Reveal Solution Discussion Select an answer first