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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:

1. During which phase of an AI project should you consider Trustworthy AI considerations?

A) Every Phase of the AI project
B) Phase VI: Model Operationalization
C) Phase II: Data Understanding
D) Phase I: Business Understanding

2. Your team is running a simulation-based optimization exercise to increase routing efficiency.
Learning for this exercise is done through "trial and error".
Which type of machine learning approach is being leveraged for this exercise?

A) Unsupervised Learning
B) Supervised Learning
C) All would work equally well
D) Reinforcement Learning

3. Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

A) Stream learning
B) Real-time prediction
C) Web service / Microservice
D) Batch prediction

4. Your team is trying to determine which pattern best fits their AI problem. To do this the project team is running through the seven patterns of AI to figure out what pattern best applies to their problem.
Which of the following is the best approach?

A) Apply every pattern to the project.
B) Determine what you're trying to accomplish and see which pattern(s) of AI fit best.
C) When in doubt, don't apply any pattern of AI.
D) When in doubt, go with the patterns and anomalies pattern as all AI projects are about pattern matching.

5. You're in charge of marketing at your organization and you've been tasked with using AI to help create marketing images. What's a good solution for this need?

A) Decision tree and Random Forest approaches
B) Generative AI solutions for content generation
C) Image and object detection and recognition systems
D) Autonomous patterns and process automation

Solutions: