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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Operationalize AI Solution | 17% | - Deploy AI systems into production - Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch |
| Identify Data Needs | 26% | - Ensure data quality, privacy, security, and compliance - Plan data collection, storage, and infrastructure - Define data requirements and sources |
| Manage AI Model Development and Evaluation | 16% | - Oversee model design, training, and validation - Monitor performance, accuracy, and reliability - Address model drift, explainability, and limitations |
| Identify Business Needs and Solutions | 26% | - Define requirements, scope, and success criteria - Align AI initiatives with organizational strategy - Evaluate feasibility and value of AI solutions |
| Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Establish ethical and governance frameworks - Ensure fairness, transparency, accountability |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. You're running an AI project and want to speed up training of the model so that you can complete your current CPMAI iteration within the two-week timeframe the team has set. What's one approach to speed up model training?
A) Use cloud-based technology
B) Use data from a previous project
C) Use or extend a pre-trained model
D) Use Brute force method
2. A logistics company wants to use AI to optimize delivery routes for a client that runs a pizza franchise. Which AI capability should be used?
A) Predictive analytics
B) Autonomous systems
C) Conversational
D) Hyperpersonalization
3. In the early stages of an AI project, the team needs to determine the types of environments and devices where the AI solution will be used. This information is crucial to ensure a successful implementation. Which action should the project manager implement first?
A) Hold workshops with end users to gather feedback.
B) Conduct comprehensive user experience research.
C) Draft a detailed usage scenario analysis.
D) Perform a technical requirements audit.
4. An energy technology firm is developing an AI model to predict energy consumption patterns.
They need to gather the required data from smart meters, weather forecasts, and historical usage records. To help ensure the AI model performs well, which action will address their needs?
A) Adopting a hybrid cloud approach for scalable data management
B) Leveraging federated learning to keep data decentralized
C) Integrating a data warehouse with real-time data ingestion
D) Utilizing a data lake to store and process all data sources
5. A project team is currently evaluating an AI solution. They need to ensure the machine learning model provides the expected business benefits. Which critical factor should the project manager assess?
A) Minimization of human intervention
B) Volume of training data
C) Maximization of model interpretability
D) Alignment with key performance indicators
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: C | Question # 4 Answer: C | Question # 5 Answer: D |
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