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PMI CPMAI Exam Syllabus Topics:

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

1. You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

A) K-means
B) K Nearest Neighbor
C) Neural Network
D) Hyperpersonalization

2. An organization aims to improve transparency and trust in its AI systems. Stakeholders request documentation outlining model purpose, limitations, risks, and performance characteristics. Which artifact should the project manager ensure is created and maintained?

A) Source code repository
B) Deployment script
C) Data pipeline diagram
D) Model card

3. An IT services company project manager is creating an AI project scope statement. They need to include details on the environments, devices, and personnel that will use the AI solution. What should the project manager do?

A) Perform a detailed technical requirements audit for the scope statement.
B) Gain stakeholder buy-in to proceed with the project.
C) Create an AI efficacy program to complete the scope statement.
D) Develop a comprehensive usage scenario analysis.

4. A healthcare organization is developing an Al model to predict patient outcomes. The project manager needs to address issues of missing or incorrect data before training the model. What is an effective method to help ensure data quality?

A) Implementing an AI data needs assessment
B) Performing systematic data validation
C) Enhancing with data augmentation techniques
D) Applying predictive data algorithms

5. An AI project for a financial technology client is at risk due to potential inaccuracies in data aggregation. What is the first step the project manager should take to mitigate the risk?

A) Evaluate the data freshness and relevance.
B) Create a data visualization.
C) Understand the data characteristics.
D) Delete the suspicious data manually.

Solutions: