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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data for AI | - Data identification and governance
| |
| AI System Testing and Evaluation | - Model evaluation and monitoring
| |
| Data Preparation for AI | - Data cleaning and transformation
| |
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
|
| AI Model Development and Iteration | - Model building and validation
| |
| AI Operationalization and Governance | - Deployment and lifecycle management
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. A healthcare AI model achieves high predictive accuracy but lacks transparency in decision- making. Regulators require clear explanations for each prediction to ensure patient safety and trust. What is the primary risk of deploying this model as-is?
A) Data duplication issues
B) Increased operational costs
C) Reduced system speed
D) Regulatory non-compliance
2. You are working for a large multinational organization and have been assigned to a new project.
For your new ML project, you need to make sure you're managing data privacy and security as you're working with sensitive customer data. What critical security issues do you need to make sure you address? (Choose all that apply.)
A) Securely storing all data collected for training purposes
B) Compliance with Data Privacy Laws even if they are out of your physical jurisdiction
C) Securing data at rest
D) Securing model data and metadata
3. A team is evaluating different AI models for their project. They are considering error rates and overall performance. If the team had selected a model based solely on the error rate, what would be the outcome?
A) A better performance across the chosen domains
B) An increase in stakeholder satisfaction based on performance
C) A balanced performance across all metrics
D) A potential to overlook other critical performance metrics
4. A project manager is leading a complex project for a global financial institution. The project is developing an AI-driven system for real-time fraud detection and risk management. The system needs to adhere to all financial regulations. The project manager has identified skills gaps with the existing available resources. What should the project manager do?
A) Allocate additional budget for consultant AI training.
B) Engage consultants to fill the expertise gap.
C) Delay the project until internal expertise is developed.
D) Proceed with the project until external expertise is needed.
5. Different AI project team members are responsible for various parts of the project, both cognitive and non-cognitive. The project manager needs to ensure effective accountability documentation.
Which method will help to ensure accurate documentation?
A) Implementing periodic documentation reviews by the project manager
B) Creating separate documentation protocols for cognitive and non-cognitive parts
C) Using a centralized documentation system accessible to all team members
D) Assigning documentation responsibilities to a dedicated documentation team
Solutions:
| Question # 1 Answer: D | Question # 2 Answer: A,B,C,D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: C |
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