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

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q315-Q320):

NEW QUESTION # 315
A project charter states that the AI solution will "significantly improve customer experience." What is the deficiency in this statement?

Answer: A

Explanation:
Success criteria must be specific and measurable so that model evaluation can determine objectively whether the business objective is met. Qualitative statements provide no threshold against which results can be assessed at phase gates.


NEW QUESTION # 316
You have been brought on to manage a recognition project, specifically an image recognition project, for an Autonomous Retail application. You know that you need to make sure you have sufficient data for this project. What's the best way to approach this?

Answer: C

Explanation:
Taking inventory of all company data and selecting relevant data ensures you use appropriate, high-quality datasets tailored to the project needs without unnecessary or irrelevant data.


NEW QUESTION # 317
Your team has created a model that is going to be used for monitoring systems and it needs to provide analysis on a weekly basis. What's the most appropriate Model Operationalization approach?

Answer: D


NEW QUESTION # 318
Your team is tasked with selecting an algorithm for a supervised learning classification project.
Which algorithm might you choose?

Answer: A

Explanation:
K-nearest neighbor is a supervised learning algorithm used for classification tasks, making it suitable for supervised classification projects.


NEW QUESTION # 319
A telecommunications company is implementing an AI-driven customer support system. The project manager is responsible for overseeing the data evaluation. They need to ensure that the AI system provides accurate and helpful responses to customer queries. What is an effective method that helps to ensure these objectives are achieved?

Answer: A

Explanation:
Regularly updating the AI system's knowledge base with current information and feedback from customer interactions helps maintain response accuracy, relevance, and usefulness as products, services, policies, and customer needs change.


NEW QUESTION # 320
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