Objective 1.4 Analyze Machine Learning System Use Cases AIP-210 Practice Questions (Page 1)

Questions 1–5

1. 1foundation · easy

   A company wants to build an ML model that uses customer data to personalize marketing. Which of the following is a regulatory constraint that could affect adoption?

   • AData privacy regulations (e.g., GDPR)
   • BEmployee training time
   • CCloud service costs
   • DModel accuracy requirements
   Reveal Solution Discussion Select an answer first
2. 2application · medium

   A healthcare startup wants to use ML to diagnose diseases from medical images. They have access to a large dataset of labeled images. Which stakeholder group must be involved to ensure the solution is ethical and compliant?

   • AFacilities management
   • BMedical professionals and regulatory experts
   • CMarketing team
   • DCustomer support staff
   Reveal Solution Discussion Select an answer first
4. 3expert · hard

   A hospital wants to use ML to predict patient deterioration. They have electronic health records, but the data is incomplete and contains sensitive personal information. They must comply with strict data privacy regulations. What is the most important constraint to address?

   • ASpeed of model deployment
   • BData privacy and security, including compliance with regulations
   • CModel accuracy
   • DCost of cloud computing
   Reveal Solution Discussion Select an answer first
5. 4application · medium

   A company wants to use ML to automate customer support responses. They have a large dataset of past support tickets and resolutions. However, the tickets are in multiple languages and contain many typos. What is the primary feasibility challenge?

   • ARegulatory constraints
   • BInsufficient stakeholder buy-in
   • CLack of business value
   • DData quality and preprocessing complexity
   Reveal Solution Discussion Select an answer first
6. 5foundation · easy

   A data scientist has a dataset of labeled emails (spam or not spam) and wants to train a model to classify new emails. Which type of machine learning problem is this?

   • ASemi-supervised learning
   • BReinforcement learning
   • CUnsupervised learning
   • DSupervised learning
   Reveal Solution Discussion Select an answer first