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Only need to practice for 20 to 30 hours
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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: 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 |
| Topic 2: Identify Data Needs | 26% | - Ensure data quality, privacy, security, and compliance - Plan data collection, storage, and infrastructure - Define data requirements and sources |
| Topic 3: Operationalize AI Solution | 17% | - Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch - Deploy AI systems into production |
| Topic 4: Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Establish ethical and governance frameworks - Ensure fairness, transparency, accountability |
| Topic 5: Manage AI Model Development and Evaluation | 16% | - Monitor performance, accuracy, and reliability - Address model drift, explainability, and limitations - Oversee model design, training, and validation |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. An AI project team has identified a gap in their data knowledge and experience. They need to address this issue in order to proceed with their AI implementation. What is the effective solution?
A) Utilize an AI-specific data enhancement protocol to improve data quality.
B) Engage in a comprehensive data immersion program to build internal capabilities.
C) Hire an external data consultant to provide targeted guidance and training.
D) Deploy an adaptive data knowledge framework (ADKF) to bridge the expertise gap.
2. An AI-powered chatbot occasionally generates inappropriate or harmful responses despite strong training performance. The organization wants to reduce risks while maintaining usability. What is the most effective mitigation strategy for this issue?
A) Implement guardrails and content filters
B) Accelerate deployment cycles
C) Remove monitoring mechanisms
D) Increase dataset size
3. Your team is running a forecasting project and wants to use previous user data to better predict future outcomes. However, your team doesn't have access to all the data it needs. What's the best course of action?
A) Do not move forward until you have access to all the data you need.
B) Cautiously move forward knowing you may need to pause mid-project which is ok.
C) Move ahead as planned and hope you get access to the data once you need it. Since you're using an iterative approach you can always go back to steps as needed later on.
D) Move ahead as planned so you stay on time with your project.
4. A financial institution is planning to use AI capabilities to detect fraudulent transactions. The project manager needs to ensure that all necessary requirements are met before proceeding.
What is a necessary initial task?
A) Assessing the ethical implications of using AI for fraud detection
B) Determining the scalability of AI solutions for transaction monitoring
C) Identifying the primary stakeholders and their needs
D) Evaluating the accuracy of current fraud detection methods
5. In a government project to develop an AI solution for optimizing public transportation schedules, it is crucial to determine the specific cognitive tasks that the AI will perform. The project manager needs to distinguish between tasks that require AI and those that do not.
Which approach should the project manager use to identify these tasks?
A) Outlining each task's development timeline if AI were applied
B) Performing a comprehensive budget analysis for each task
C) Evaluating the return on investment of implementing each task
D) Conducting a detailed workflow analysis of the entire system
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: B | Question # 4 Answer: C | Question # 5 Answer: D |
