Differences Between AI, Automation, and Analytics CAIPM Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A healthcare provider wants to reduce patient no-shows. They have historical appointment data including patient demographics, appointment type, and past attendance. They want to automatically send reminders to patients who are at high risk of missing their appointment, and also provide clinic managers with a monthly summary of no-show trends. Which approach best achieves this?

   • AUse a machine learning model to predict each patient's no-show risk and automation to send reminders only to high-risk patients.
   • BUse automation to send reminders to all patients and analytics to generate the monthly summary.
   • CUse analytics to create a report of no-show rates and manually call high-risk patients.
   • DUse analytics to identify no-show trends and automation to send reminders to all patients.
   Reveal Solution Discussion Select an answer first
2. 27application · medium

   A human resources department wants to screen job applications more efficiently. The current process involves manually reviewing resumes and cover letters. The department wants to automatically rank candidates based on their fit for the role, but the hiring manager also wants to understand why a candidate was ranked highly. Which solution should be implemented?

   • AUse an AI-based resume screening model that ranks candidates and provides explanations of the key factors influencing the ranking.
   • BUse AI to rank candidates, but do not provide any explanation of the ranking criteria.
   • CUse a rule-based automation system that filters resumes based on specific keywords and ranks them automatically.
   • DUse analytics to create a dashboard of applicant statistics and let the hiring manager manually rank candidates.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   Which of the following is a core capability of artificial intelligence?

   • AGenerating summary reports from historical data
   • BLearning from data to improve performance over time
   • CExecuting a fixed sequence of steps exactly as programmed
   • DStoring large volumes of structured data efficiently
   Reveal Solution Discussion Select an answer first
5. 29foundation · easy

   Which business scenario is an example of using analytics alone?

   • AA logistics company uses an AI model to predict delivery delays
   • BA retailer analyzes sales data to identify seasonal buying patterns
   • CA bank uses a chatbot to answer customer queries
   • DA manufacturer uses a robotic arm to assemble products
   Reveal Solution Discussion Select an answer first
6. 30application · medium

   A bank wants to automate the initial review of loan applications. The current process uses a checklist of criteria (credit score, income, debt-to-income ratio) to automatically approve or reject applications. The bank now wants to identify applications that are likely to default even if they meet the checklist criteria, so that these can be flagged for further review. What should the bank add to the existing process?

   • AA more detailed set of business rules that include additional financial ratios.
   • BA dashboard that shows approval rates and average default rates by branch.
   • CA machine learning model that analyzes historical loan performance to score default risk for each application.
   • DA manual review step for all applications that pass the checklist.
   Reveal Solution Discussion Select an answer first