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PMI CPMAI Exam Syllabus Topics:

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

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q145-Q150):

NEW QUESTION # 145
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?

Answer: D

Explanation:
Developing a comprehensive usage scenario analysis defines how the AI solution will be used, including the operating environments, devices, user roles, workflows, and personnel involved.
This provides the practical context needed for a complete AI project scope statement.


NEW QUESTION # 146
You're testing your model and it is overly sensitive to the fluctuations of data and having trouble generalizing. What type of problem is this?

Answer: B

Explanation:
Overfitting occurs when a model is too sensitive to training data fluctuations, capturing noise instead of general patterns, which reduces its ability to generalize to new data.


NEW QUESTION # 147
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?

Answer: B


NEW QUESTION # 148
During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?

Answer: B

Explanation:
Model selection typically occurs after development, during the evaluation and validation phase, rather than during the Model Development phase where algorithms are selected, trained, and tuned.


NEW QUESTION # 149
In what way would you be using Generative AI if you used the results of the Generative AI solution to improve and accelerate your job?

Answer: A


NEW QUESTION # 150
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