Core AI Concepts and Business Applications CAIPM Practice Questions (Page 4)

Questions 16–20

1. 16application · medium

   A healthcare provider wants to use AI to improve diagnostic accuracy. They have a large dataset of medical images (X-rays, MRIs) and want to identify abnormalities. Which AI technique is most appropriate for this task?

   • APredictive analytics using structured patient data only.
   • BComputer vision using deep learning to detect patterns in medical images.
   • CNatural language processing to analyze radiology reports.
   • DRobotic process automation to automate image filing.
   Reveal Solution Discussion Select an answer first
2. 17application · medium

   A hospital is evaluating an AI system that predicts patient readmission risk. The vendor claims the model is highly accurate, but the hospital's data includes sensitive patient information and the model's decisions are not easily explainable. The hospital must comply with regulations that require transparency in medical decisions. What is the most important limitation to address before deployment?

   • AThe model will replace human doctors entirely.
   • BThe model will require continuous internet connectivity to function.
   • CThe model's lack of interpretability may prevent clinicians from understanding and trusting its recommendations.
   • DThe model's high accuracy guarantees it will work on all patient populations.
   Reveal Solution Discussion Select an answer first
4. 18expert · hard

   A company wants to build an AI system to automate customer support. They have two options: a rule-based chatbot that follows predefined decision trees, and a machine learning model that learns from past support conversations. The company has a large dataset of past conversations but limited computational resources. The support team wants the system to handle a wide variety of queries and improve over time. Which approach is more appropriate?

   • AUse both systems in parallel and let customers choose.
   • BUse the rule-based chatbot because it is simpler and requires fewer resources.
   • CUse the machine learning model because it can learn from the large dataset and handle varied queries.
   • DUse the rule-based chatbot now and replace it with an ML model later.
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Which of the following is a common limitation of AI in business contexts?

   • AAI eliminates the need for data governance and privacy policies.
   • BAI can only be used for simple, rule-based tasks.
   • CAI models can inherit biases present in the training data, leading to unfair or discriminatory outcomes.
   • DAI systems always require human intervention to function.
   Reveal Solution Discussion Select an answer first
6. 20application · medium

   A retail company wants to implement a system that automatically categorizes customer support tickets into 'billing', 'technical', or 'product' issues. The system should learn from past tickets and improve over time. Which statement correctly describes the relationship between AI, machine learning, and deep learning in this context?

   • AMachine learning requires no data to learn, while deep learning requires large datasets.
   • BAI and machine learning are interchangeable terms for the same technology.
   • CMachine learning is a subset of AI, and deep learning is a subset of machine learning that could be used for this classification task.
   • DDeep learning is a broader field that includes both AI and machine learning.
   Reveal Solution Discussion Select an answer first