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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Identify Business Needs and Solutions | 26% | - Evaluate feasibility and value of AI solutions - Define requirements, scope, and success criteria - Align AI initiatives with organizational strategy |
| Topic 2: Identify Data Needs | 26% | - Define data requirements and sources - Ensure data quality, privacy, security, and compliance - Plan data collection, storage, and infrastructure |
| Topic 3: Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Establish ethical and governance frameworks - Ensure fairness, transparency, accountability |
| Topic 4: Operationalize AI Solution | 17% | - Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch - Deploy AI systems into production |
| Topic 5: Manage AI Model Development and Evaluation | 16% | - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability - Oversee model design, training, and validation |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
A government agency is using an AI system to analyze public data for policymaking decisions.
The project manager needs to address the risks related to data accuracy, privacy, and misuse.
What represents the highest risk to the agency?
- A. The AI system is not regularly updated with new data.
- B. The system lacks a transparency process.
- C. The user data is stored in an unsecured database.
- D. The AI system relies on third-party providers.
Correct Answer: C 🗳️
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A project manager is considering the feasibility of an AI solution for a project aimed at improving customer service response times. They need to decide whether the project requirements can be solved with existing technologies or whether AI is the best approach. Which principle do the project manager's activities represent?
- A. Determining automation potential
- B. Assessing scalability requirements
- C. Identifying ethical concerns
- D. Evaluating cognitive alternatives
Correct Answer: D 🗳️
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Before developing a complex model, a project team builds a simple rules-based version of the solution using existing business logic.
What is the primary purpose of this?
- A. To validate that the data pipeline can handle production volumes
- B. To reduce the amount of labeled data required
- C. To establish a baseline that the AI model must outperform to justify its cost
- D. To satisfy stakeholder requests for early delivery
Correct Answer: C 🗳️
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A manufacturing company is operationalizing an AI-driven quality control system. The project manager needs to ensure data privacy and regulatory compliance due to the critical nature in protecting sensitive operational data. What is an effective technique that addresses these requirements?
- A. Using a hybrid encryption scheme for storage
- B. Utilizing a secure multiparty computation framework
- C. Applying data anonymization to the dataset
- D. Implementing a zero-trust architecture for network security
Correct Answer: C 🗳️
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You have an Anomaly Detection project you're working on and you need a simple approach of clustering data into classified groups. Which algorithm is the best choice given this situation?
- A. Neural Network
- B. Hidden Markov Model
- C. Decision Tree
- D. K-Means Clustering
Correct Answer: D 🗳️
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