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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Operationalize AI Solution17%- Manage change, adoption, and governance post-launch
- Deploy AI systems into production
- Establish monitoring, maintenance, and improvement processes
Topic 2: Manage AI Model Development and Evaluation16%- Oversee model design, training, and validation
- Monitor performance, accuracy, and reliability
- Address model drift, explainability, and limitations
Topic 3: Identify Data Needs26%- Plan data collection, storage, and infrastructure
- Ensure data quality, privacy, security, and compliance
- Define data requirements and sources
Topic 4: Support Responsible and Trustworthy AI Efforts15%- Ensure fairness, transparency, accountability
- Establish ethical and governance frameworks
- Manage bias, risk, compliance, and societal impact
Topic 5: Identify Business Needs and Solutions26%- Evaluate feasibility and value of AI solutions
- Define requirements, scope, and success criteria
- Align AI initiatives with organizational strategy

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q210-Q215):

NEW QUESTION # 210
You're working with petabytes of data and need to make this dataset more manageable. To do this, you want to reduce the number of variables under consideration.
What is the name for this process?

Answer: A


NEW QUESTION # 211
An AI recommendation system has been in production for four months. The project manager wants to ensure the solution continues to deliver business value.
What is the most effective mechanism?

Answer: D

Explanation:
A feedback loop captures actual outcomes from production use and returns them to the monitoring and retraining process. This closes the CPMAI lifecycle, allowing the solution to be measured against business results and improved through subsequent iterations.


NEW QUESTION # 212
A manufacturing company is considering implementing an AI solution to optimize its supply chain.
The project manager needs to determine if AI is necessary for this task. Which action will address the requirements?

Answer: A

Explanation:
Identifying noncognitive versus AI methods helps determine whether the supply chain optimization task truly requires cognitive AI capabilities or can be solved with traditional automation, analytics, or rule-based methods. This ensures AI is used only where it adds meaningful value.


NEW QUESTION # 213
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 # 214
In a government project to develop an AI solution for optimizing public transportation schedules, it is crucial to determine the specific cognitive tasks that the AI will perform. The project manager needs to distinguish between tasks that require AI and those that do not.
Which approach should the project manager use to identify these tasks?

Answer: A

Explanation:
A detailed workflow analysis helps the project manager examine each process step, identify where cognitive capabilities such as prediction, reasoning, recognition, or decision-making are required, and separate those tasks from activities that can be handled through conventional automation or standard processes.


NEW QUESTION # 215
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