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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Manage AI Model Development and Evaluation16%- Address model drift, explainability, and limitations
- Monitor performance, accuracy, and reliability
- Oversee model design, training, and validation
Support Responsible and Trustworthy AI Efforts15%- Ensure fairness, transparency, accountability
- Establish ethical and governance frameworks
- Manage bias, risk, compliance, and societal impact
Identify Data Needs26%- Define data requirements and sources
- Ensure data quality, privacy, security, and compliance
- Plan data collection, storage, and infrastructure
Operationalize AI Solution17%- Establish monitoring, maintenance, and improvement processes
- Deploy AI systems into production
- Manage change, adoption, and governance post-launch
Identify Business Needs and Solutions26%- Define requirements, scope, and success criteria
- Evaluate feasibility and value of AI solutions
- Align AI initiatives with organizational strategy

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q184-Q189):

NEW QUESTION # 184
A logistics company is planning to separate cognitive and noncognitive parts of an AI project.
They need to manage teams working on these parts. What is a necessary initial task?

Answer: D

Explanation:
Conducting a skills assessment helps determine which team members are best suited for cognitive AI work, such as model development and data science, and which are better suited for noncognitive automation or traditional implementation tasks. This supports proper team assignment before execution begins.


NEW QUESTION # 185
You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs.
Specifically, the images you need are of people in different poses. What is the best way to obtain this data?

Answer: C


NEW QUESTION # 186
Humans have an innate capability that cognitive machines have not been able to replicate. What illustrates the core aspect of human intelligence related to the ability to adapt to new situations?

Answer: D

Explanation:
Human intelligence is strongly characterized by adaptive learning-the ability to transfer knowledge and lessons from prior experiences to unfamiliar situations and use them to solve new problems effectively.


NEW QUESTION # 187
A fintech AI project uses third-party data sources for credit risk modeling. The project manager is concerned about compliance and accountability if the external data quality changes. Which control best supports responsible and trustworthy AI delivery?

Answer: D

Explanation:
PMI's trustworthy AI framing highlights governance, transparency, and accountability as essential ingredients for systems people can interpret and monitor. When third-party data feeds can change, the PMI-aligned approach is to establish governance and supplier controls that define data quality expectations, lineage, permitted uses, privacy constraints, and monitoring/audit mechanisms. This supports accountability by making data dependencies explicit and enabling early detection when upstream changes degrade model behavior.


NEW QUESTION # 188
Your team is looking to develop an RPA bot to help assist call center agents while on providing support. What type of bot should your team be creating?

Answer: C


NEW QUESTION # 189
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