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PMI CPMAI Exam Syllabus Topics:

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

1. A hospital system has been using a chatbot and has received complaints from end users. The end users believe they are speaking to a person but are frustrated when answers do not make sense. To help ensure end users know that they are engaging with an AI chatbot, what should be considered to support transparency?

A) Operationalize advanced algorithms
B) Use of interpretable AI models
C) Disclosure notice with each use
D) Inclusion of diverse data sets

2. A model has passed evaluation and is approved for production. The project team has no defined process for versioning models, tracking which data version produced them, or rolling back a deployment.
What does this project lack?

A) A change control board
B) A data governance framework
C) An explainability assessment
D) MLOps practices for model lifecycle management

3. A project manager is tasked with ensuring the transparency of an AI project's data selection process. The project involves integrating multiple data sources from various departments. What should the project manager do?

A) Establish a cross-departmental data sharing agreement.
B) Implement advanced data encryption techniques.
C) Create a comprehensive data catalog.
D) Develop a data visualization dashboard.

4. You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?

A) Use noise reduction techniques to reduce all forms of data noise
B) Implement a new data privacy policy
C) Store the data in a data warehouse
D) If this data is not needed, use Data anonymization techniques to remove it before feeding to models

5. In the early stages of an AI project, the team needs to determine the types of environments and devices where the AI solution will be used. This information is crucial to ensure a successful implementation. Which action should the project manager implement first?

A) Hold workshops with end users to gather feedback.
B) Perform a technical requirements audit.
C) Conduct comprehensive user experience research.
D) Draft a detailed usage scenario analysis.

Solutions: