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

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PMI CPMAI Exam Syllabus Topics:

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

1. An organization's leadership team is concerned about the ethical implications of operationalizing their AI model. How should the project manager address these concerns in their presentation to the team?

A) Highlight the model's high performance metrics and low error rates.
B) Explain how the AI model complies with general data protection regulation (GDPR) and other regulations.
C) Discuss the implementation of differential privacy and the algorithms used to protect data.
D) Demonstrate the use of bias detection tools to ensure fairness

2. You've built your model and now need to see if it actually works as expected. In which phase of CPMAI is this done?

A) Phase VI
B) Phase IV
C) Phase III
D) Phase I
E) Phase II
F) Phase V

3. During CPMAI Phase II it's important to not only understand the sources of your data, but also what data is required for training as well as identifying the features that are required. When looking to gather data, what approach is best when determining how much data you need?

A) The "more is better" approach
B) There is no correct approach
C) The "less is better" approach
D) The "goldilocks" approach

4. A telecommunications company is adopting an AI-based customer service chatbot. They are concerned about potential quality issues affecting customer satisfaction. What should the project manager do?

A) Initiate a beta testing phase with a small group of customers
B) Develop a comprehensive quality assurance plan for the chatbot
C) Conduct regular performance reviews and updates based on customer feedback
D) Set up a dedicated team to monitor and address quality issues

5. You're looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?

A) Use of inpainting to replace image components
B) Prompt engineering for new image generation
C) Use of super-resolution to enhance the existing image
D) Use of Generative Outpainting

Solutions: