PMI CPMAI

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

1. An aerospace firm is developing an AI system for predictive maintenance of their aircraft. The project team needs to define the required data to train the model.
Which activity should the project manager implement?

A) Implementing data cleaning and preprocessing routines
B) Conducting a pilot test with a small dataset
C) Developing a comprehensive data collection strategy
D) Setting up real-time data streaming from aircraft sensors

2. Your team was given a large dataset and has been tasked with organizing the data by type to make better insights from the results. You are facing problems with the approach that the previous project lead used which was a regression algorithm.
What type of algorithm is the best approach for this project?

A) Regression
B) Clustering
C) Binary (or Binomial) Classification
D) Multiclass Classification

3. A project team is tasked with ensuring all AI-related decisions and actions are documented comprehensively for future auditing purposes. They need to track the reasons for specific AI choices, their impacts, and any issues encountered during the implementation.
What is represented in this situation?

A) Strategic alignment
B) Compliance management
C) Transparency
D) Operational efficiency

4. An organization is to undertake a multi-pattern AI project. They want to build a robot that is able to roam the halls as well as converse with employees and answer basic questions.
What is the best approach for handling this project?

A) Run it as one project, combining teams, data requirements, and project needs
B) Run it as a hybrid approach and some phases are run separately while other phases are combined together
C) Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs
D) Run each pattern in isolation, with separate teams

5. Your organization wants to use Generative AI. What are examples of when Generative AI can and should be used? (Select all that apply.)

A) Explainable Decision-support systems
B) Data Augmentation for Training
C) Content Generation
D) Human Augmentation
E) Programmatic automated content generation
F) Virtual Avatars and Characters

Solutions: