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. A consulting firm is preparing data for an AI-driven customer segmentation model. They need to verify data quality before data preparation. What should the project manager do first?

A) Conduct data cleaning.
B) Assess data completeness.
C) Implement data enhancement.
D) Apply data labeling techniques.

2. You need to hire a data scientist to join your team. What skill sets should you be looking for when hiring and interviewing this person? (Choose all that apply.)

A) Critical thinking skills
B) Strong math skills, especially in calculus and statistics
C) Prompt engineering skills
D) Automation skills, especially around creating RPA bots
E) Understanding of algorithms
F) Understanding of tools and technologies for manipulating, collecting, and preparing large data sets

3. A project team is using a generative AI assistant to draft stakeholder communications. The drafts are often generic and miss project constraints. What is the most likely cause?

A) The model is too efficient
B) The team is over-monitoring outputs
C) The tool requires more compute
D) The prompts provide insufficient context and constraints

4. A national health insurance company is embarking on a complex AI project to assist in coordinating patient care across its multiple hospital network. The AI system will analyze large amounts of patient data to coordinate care, improve patient outcomes, and optimize resource allocation. Numerous healthcare providers' data needs to be integrated. The data includes patient information which is private. The project needs to comply with data privacy regulations in various countries. Which critical step should be performed to optimize representative training data?

A) Increase the data set size without considering diversity.
B) Enhance the key performance indicator (KPI) metrics.
C) Improve data understanding and preparation.
D) Implement comprehensive bias detection metrics.

5. A team is in the early stages of an AI project. They need to ensure they have the necessary data and technology to support AI solution development. What is the first step the project team should complete?

A) Outline the business objectives for the AI project.
B) Assess the team's current AI and data expertise.
C) Identify the gaps and procure the needed tools.
D) Verify the availability and quality of the required data.

Solutions: