Objective 1.4 Analyze Machine Learning System Use Cases AIP-210 Practice Questions (Page 6)

Questions 26–30

1. 26foundation · easy

   A hospital wants to analyze medical images to detect early signs of diabetic retinopathy. Which machine learning use case is this?

   • ACustomer churn prediction
   • BInventory optimization
   • CMedical image analysis
   • DSpeech recognition
   Reveal Solution Discussion Select an answer first
2. 27expert · hard

   A bank wants to implement an ML system for credit scoring. They have two options: a highly accurate deep learning model that is difficult to explain, or a slightly less accurate but interpretable model. Regulations require that credit decisions be explainable to customers. What should they choose?

   • AThe interpretable model, because regulatory compliance is a hard constraint
   • BThe deep learning model, because accuracy is more important
   • CUse the deep learning model and hide the lack of explainability
   • DUse both models and randomly choose for each application
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   A retailer implements an ML model to personalize product recommendations. Which of the following is a likely business impact?

   • AEnhanced model interpretability
   • BImproved data quality
   • CIncreased sales revenue
   • DReduced model training time
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A hospital wants to use ML to predict patient readmission risk within 30 days. They have electronic health records with patient demographics, diagnoses, and past admissions. However, the data is stored in different formats across departments and contains many missing values. What should the team do first to assess feasibility?

   • AHire more data scientists to manually clean the data
   • BEvaluate data quality and availability, including missing values and integration challenges
   • CDeploy a model and monitor its performance in production
   • DImmediately build a model using the available data
   Reveal Solution Discussion Select an answer first
6. 30foundation · easy

   A robot learns to navigate a maze by receiving a reward when it reaches the exit and a penalty when it hits a wall. Which type of machine learning problem is this?

   • ASupervised learning
   • BUnsupervised learning
   • CReinforcement learning
   • DSemi-supervised learning
   Reveal Solution Discussion Select an answer first