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 1)

Questions 1–5

1. 1foundation · easy

   A bank wants to use ML to reduce the number of fraudulent credit card transactions. Which of the following is the most appropriate ML problem framing?

   • AA clustering problem to group similar transactions
   • BA recommendation problem to suggest transactions to users
   • CA regression problem to predict the dollar amount of each transaction
   • DA classification problem to label each transaction as fraudulent or legitimate
   Reveal Solution Discussion Select an answer first
2. 2foundation · easy

   In genomics research, ML is used to analyze DNA sequences to identify genes associated with diseases. This is an example of AI/ML in:

   • AResearch
   • BPublic safety
   • CCommercial marketing
   • DGovernment policy
   Reveal Solution Discussion Select an answer first
4. 3application · medium

   A city's emergency services department wants to reduce ambulance response times. They have historical data on call times, locations, traffic patterns, and past incident types. The department can reposition ambulances between stations, but moving them costs fuel and takes them offline. What is the most effective way to frame this as an AI/ML problem?

   • AUse a clustering algorithm to group similar past incidents and assign a single station to each cluster.
   • BPredict the demand for ambulances by location and time of day, then optimize station placement to minimize predicted response time.
   • CBuild a simulation of traffic to find the fastest route for every call in real time.
   • DClassify incoming 911 calls by urgency to prioritize dispatch, ignoring location data.
   Reveal Solution Discussion Select an answer first
5. 4foundation · easy

   A city government wants to use machine learning to prioritize which pothole repair requests to address first. Which type of problem is this primarily addressing?

   • ACommercial problem
   • BResearch problem
   • CPersonal problem
   • DPublic interest problem
   Reveal Solution Discussion Select an answer first
6. 5application · medium

   A pharmaceutical company is researching a new drug for a rare disease. They have a large database of molecular structures and their known effects on a specific protein. Testing each candidate in a lab is expensive and slow. They want to prioritize which molecules to test in the lab to find promising drug candidates faster. Which AI/ML approach best fits this research problem?

   • ATrain a supervised model on the known molecular data to predict the likelihood that a new molecule will bind to the protein, then rank candidates by predicted activity.
   • BApply a large language model to read all published papers on the disease and summarize potential drug targets.
   • CBuild a reinforcement learning agent that randomly tests molecules in the lab to learn which ones work.
   • DUse a clustering algorithm to group similar molecules and test one representative from each group in the lab.
   Reveal Solution Discussion Select an answer first