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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: AI Fundamentals | 16% | - Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning - AI capabilities and limitations |
| Topic 2: Managing AI | 8% | - Stakeholder management - Risk management in AI projects - Managing AI project teams and resources |
| Topic 3: Trustworthy AI | 9% | - Transparency and explainability - Ethical considerations and bias - Privacy and security |
| Topic 4: Machine Learning | 13% | - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks - Supervised, Unsupervised, and Reinforcement Learning |
| Topic 5: CPMAI Methodology | 41% | - Phase II: Data Identification & Curation
|
| Topic 6: Data for AI | 13% | - DataOps concepts - Data strategy and governance - Data preparation and preprocessing |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
Your team is testing the NLP model they just created to make sure it's performing as expected.
Some of your team members want to move this model to production and move to the next iteration. What's wrong with this workflow?
- A. Nothing is wrong with this workflow. You can move to the next iteration
- B. Model Evaluation requires continuous model evaluation, retraining, and operationalization
- C. Team members should not be able to move to new projects until senior management signs off
- D. You need to make sure the AI Go/No Go questions have been addressed
Correct Answer: B 🗳️
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A healthcare provider plans to deploy an AI system to predict patient readmissions. The project manager needs to conduct a risk assessment to ensure patient safety and data integrity. What is an effective method to help ensure the AI system adheres to ethical standards?
- A. Implementing a data encryption protocol
- B. Performing continuous monitoring and auditing
- C. Conducting a stakeholder impact analysis
- D. Using an explainability framework
Correct Answer: B 🗳️
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A project involves integrating AI systems across multiple departments, each with different access levels. This complex Al project has presented the project manager with significant issues related to data misuse. The project team has been focused on their ethics guidelines but continues to experience data misuse. The project involves different regional data protection regulations which further increases the complexity. What issue will cause these challenges to occur?
- A. Failure to implement robust encryption for data security
- B. Limited awareness of explainability requirements
- C. Overlooking algorithmic bias and fairness concerns
- D. Lack of a detailed plan addressing a governance strategy
Correct Answer: D 🗳️
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A project manager is reviewing the performance of an AI model used for predictive analytics in sales. The model's accuracy is within acceptable limits; however, its precision is low. What is the cause for the precision issue?
- A. The model is overfitting the training data.
- B. The feature selection process is flawed.
- C. The training data is unbalanced.
- D. The model is underfitting the validation data.
Correct Answer: C 🗳️
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An IT services company is developing an AI-driven customer support chatbot. The project manager assembling the team needs to identify the data subject matter experts (SMEs) who can contribute effectively to the chatbot training and optimization. What expertise should the project manager look for to meet this objective?
- A. Experience with generative adversarial networks (GANs) and generating realistic synthetic data
- B. Proficiency in convolution neural networks (CNNs) and their use in image recognition
- C. Background in recurrent neural networks (RNNs) and effectiveness in sequential data processing
- D. Knowledge of long-short-term memory (LSTM) neural networks and success in handling long- term dependencies
Correct Answer: C 🗳️
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