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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
CPMAI Methodology41%- Phase V: Operationalization
  • 1. Define success criteria and monitoring
  • 2. Plan for deployment and integration
- Phase II: Data Identification & Curation
  • 1. Assess data readiness and quality
  • 2. Identify data needs
- Phase III: Algorithm Selection & Model Training
  • 1. Oversee AI/ML model technique selection
  • 2. Manage model training and configuration
- Phase VI: Iteration & Monitoring
  • 1. Continuous monitoring and iteration
  • 2. Retraining and model drift management
- Phase I: Problem Identification
  • 1. Evaluate initial AI feasibility
  • 2. Identify business needs and solutions
- Phase IV: Model Evaluation
  • 1. Oversee AI/ML model QA/QC
  • 2. Evaluate model performance against metrics
Machine Learning13%- Supervised, Unsupervised, and Reinforcement Learning
- Algorithms and models (e.g., NLP, Computer Vision)
- Deep Learning and Neural Networks
Managing AI8%- Stakeholder management
- Risk management in AI projects
- Managing AI project teams and resources
Data for AI13%- DataOps concepts
- Data strategy and governance
- Data preparation and preprocessing
Trustworthy AI9%- Privacy and security
- Transparency and explainability
- Ethical considerations and bias
AI Fundamentals16%- Concepts and terminology of Artificial Intelligence
- AI capabilities and limitations
- Types of AI and Machine Learning

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q206-Q211):

NEW QUESTION # 206
Your team has built a new robot that roams the halls at your organization and helps with various things such as small deliveries. However, you notice that many employees are opting not to use the robot. When you ask them why they tell you that the robot looks "creepy" and they would rather not interact with it.
What's going on here?

Answer: C


NEW QUESTION # 207
You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?

Answer: A


NEW QUESTION # 208
You're being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you're actually solving a real business problem. During phase I: Business Understanding, you should consider at least one of the following (Choose all that apply):

Answer: A,C,D,E

Explanation:
AI projects should focus on enhancing revenue, solving previously unsolved problems, improving competitiveness, or solving existing problems more efficiently to ensure real business value.


NEW QUESTION # 209
In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:

Answer: B


NEW QUESTION # 210
Your team is looking to develop an RPA bot to help with back-office processes such as data entry.
What type of bot should your team be creating?

Answer: D


NEW QUESTION # 211
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