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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Managing AI | 8% | - Stakeholder management - Risk management in AI projects - Managing AI project teams and resources |
| Data for AI | 13% | - Data preparation and preprocessing - DataOps concepts - Data strategy and governance |
| Machine Learning | 13% | - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks - Supervised, Unsupervised, and Reinforcement Learning |
| Trustworthy AI | 9% | - Ethical considerations and bias - Transparency and explainability - Privacy and security |
| CPMAI Methodology | 41% | - Phase II: Data Identification & Curation
|
| AI Fundamentals | 16% | - AI capabilities and limitations - Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. A healthcare organization plans to use an AI solution to predict patient readmissions. The data science team needs to identify data sources and ensure data quality. Which method will meet the project team's objectives?
A) Implementing data augmentation techniques to fill missing values
B) Operationalizing a data catalog to maintain metadata standards
C) Using data profiling tools to assess data completeness
D) Setting up a continuous integration pipeline for real-time data validation
2. A healthcare organization is developing an Al model to predict patient outcomes. The project manager needs to address issues of missing or incorrect data before training the model. What is an effective method to help ensure data quality?
A) Enhancing with data augmentation techniques
B) Implementing an AI data needs assessment
C) Applying predictive data algorithms
D) Performing systematic data validation
3. Your team is working on a new project for finding the most optimal flow of warehouse robots on the warehouse floor. Which type of machine learning approach would be most appropriate to pick for this problem?
A) Reinforcement Learning
B) Unsupervised Learning
C) Supervised Learning
D) All would work equally well
4. You've built your model and now need to see if it actually works as expected. In which phase of CPMAI is this done?
A) Phase II
B) Phase V
C) Phase IV
D) Phase I
E) Phase VI
F) Phase III
5. A project manager at a consulting firm is tasked with facilitating the creation of an AI-driven predictive maintenance system for a manufacturing client. Identifying data sources and locations is crucial for the project's success. Which method will help to ensure the project manager meets the objectives?
A) Creating a detailed data flow diagram
B) Using Internet of Things (IoT) sensors for real-time data collection
C) Operationalizing a data lake for centralized storage
D) Establishing a comprehensive data governance framework
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: A | Question # 4 Answer: B | Question # 5 Answer: A |




