Download Cognitive project management in AI.CPMAI.ExamTopics.2025-12-21.32q.tqb

Vendor: PMI
Exam Code: CPMAI
Exam Name: Cognitive project management in AI
Date: Dec 21, 2025
File Size: 119 KB
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Demo Questions

Question 1
In the case that an algorithm you want to use isn’t algorithmically explainable, AI systems should try to do the following:
  1. Provide a means to have contestability of the algorithm selected
  2. Provide a means to interpret AI results so that cause and effect can be represented
  3. Provide a means to have a different team on the project
  4. Provide a means to reverse-engineer the algorithm to inspect its performance
Correct answer: B
Question 2
You have just joined a team and they are working on a new project. The project lead isn’t sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI / ML Project?
  1. Evaluate whether the solution can be done with automation.
  2. Determine if the project fits within the scope, budget, and timeline set out.
  3. Determine whether the project has a cognitive technology component and meets a short-term need.
  4. Determine the long-term need for the organization and build the project to that long-term goal.
Correct answer: C
Question 3
You want to create a model to figure out if a customer would be likely to repurchase a certain item. The project owner doesn’t want you to create anything too complicated, and you have a limited data set to work with.
Which algorithm is the best choice given these constraints?
  1. Ensemble models
  2. Naive Bayes
  3. Neural Networks
  4. Generative AI
Correct answer: B
Question 4
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?
  1. Unsupervised Learning
  2. Reinforcement Learning
  3. Supervised Learning
  4. All would work equally well
Correct answer: B
Question 5
You are working for a large multinational organization and have been assigned to a new project. For your new ML project, you need to make sure you’re managing data privacy and security as you’re working with sensitive customer data.
What critical security issues do you need to make sure you address? (Choose all that apply.)
  1. Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
  2. Securing model data and metadata
  3. Securing data at rest
  4. Securely storing all data collected for training purposes
Correct answer: ABCD
Question 6
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?
  1. Multiclass Classification
  2. Regression
  3. Clustering
  4. Binary (or Binomial) Classification
Correct answer: C
Question 7
Your organization wants to use Generative AI. What are examples of when Generative AI can and should be used? (Choose all that apply.)
  1. Human Augmentation
  2. Explainable Decision-support systems
  3. Content Generation
  4. Data Augmentation for Training
  5. Programmatic automated content generation
  6. Virtual Avatars and Characters
Correct answer: ACDEF
Question 8
During which phase of an AI project should you consider Trustworthy AI considerations?
  1. Phase I: Business Understanding
  2. Phase II: Data Understanding
  3. Phase VI: Model Operationalization
  4. Every Phase of the AI project
Correct answer: D
Question 9
The team is evaluating where the sources of the data for training are. What phase of CPMAI are they in?
  1. Phase I
  2. Phase II
  3. Phase III
  4. Phase IV
  5. Phase V
  6. Phase VI
Correct answer: B
Question 10
Your team is working on a project and is running into some issues. You need someone on the team who is able to solve problems in environments of uncertainty, can deal with failure, and has the math and data visualization skills needed to communicate the results with others so the issues can get resolved.
What role would be most suited for this?
  1. Data Scientist
  2. Data Engineer
  3. Citizen Data Scientist
  4. Project Manager
Correct answer: A
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