Identify Problem to Be Solved (e.g., Needs, Persona) PMI-CPMAI Practice Questions (Page 4)

Questions 16–20

1. 16foundation · easy

   When mapping a business problem to an AI pattern, which pattern is most appropriate for a problem that involves classifying customer feedback into positive, neutral, or negative sentiment?

   • AClustering pattern
   • BClassification pattern
   • CAnomaly detection pattern
   • DRegression pattern
   Reveal Solution Discussion Select an answer first
2. 17foundation · easy

   What is the primary purpose of defining a user persona in the context of an AI solution?

   • ATo define the technical architecture of the solution
   • BTo list all the features of the solution
   • CTo identify the project stakeholders
   • DTo represent the end users of the solution and their needs
   Reveal Solution Discussion Select an answer first
4. 18foundation · easy

   Which AI technique is best suited for a problem that requires identifying fraudulent transactions in a large dataset?

   • AAnomaly detection
   • BNatural language processing
   • CSpeech recognition
   • DComputer vision
   Reveal Solution Discussion Select an answer first
5. 19foundation · easy

   Why is it important to validate a problem statement with subject matter experts (SMEs)?

   • ATo determine the project budget
   • BTo ensure the problem statement accurately reflects the real business issue
   • CTo select the AI algorithm
   • DTo assign project team roles
   Reveal Solution Discussion Select an answer first
6. 20expert · hard

   A legal firm wants to automate the review of contracts to identify clauses that deviate from standard templates. The firm has a large corpus of past contracts, some labeled as 'standard' and 'non-standard'. The goal is to flag non-standard clauses for human review. The firm is considering two AI patterns: (1) a supervised text classification model and (2) an unsupervised anomaly detection model. Which pattern is MORE appropriate, and why?

   • ASupervised classification, because the labeled data allows the model to learn the specific features of standard vs. non-standard clauses.
   • BUnsupervised anomaly detection, because it can find any deviation from the norm without needing labels.
   • CUnsupervised anomaly detection, because it is easier to explain to legal stakeholders.
   • DSupervised classification, because it requires less data than unsupervised methods.
   Reveal Solution Discussion Select an answer first