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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Identify Data Needs | 26% | - Define data requirements and sources - Ensure data quality, privacy, security, and compliance - Plan data collection, storage, and infrastructure |
| Operationalize AI Solution | 17% | - Manage change, adoption, and governance post-launch - Deploy AI systems into production - Establish monitoring, maintenance, and improvement processes |
| Manage AI Model Development and Evaluation | 16% | - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability - Oversee model design, training, and validation |
| Support Responsible and Trustworthy AI Efforts | 15% | - Establish ethical and governance frameworks - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability |
| Identify Business Needs and Solutions | 26% | - Align AI initiatives with organizational strategy - Evaluate feasibility and value of AI solutions - Define requirements, scope, and success criteria |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
You're running an image recognition project and realize that you do not have enough data of a certain type of vehicle. What is the best course of action to get the additional labeled data you need?
- A. Perform Data Transformation & Multiplication
- B. Perform Data Sampling
- C. Perform Data anonymization
- D. Purchase the data from a third party
Correct Answer: D 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
An AI project team has completed an AI go/no-go assessment. They have discovered several technology and data factors to be insufficient. Which action should occur?
- A. Launch the AI project without further assessment.
- B. Proceed with development despite data issues.
- C. Verify data quality and stakeholder alignment.
- D. Focus solely on technology upgrades, not data.
Correct Answer: C 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
A telecommunications company is implementing an AI-driven customer support system. The project manager is responsible for overseeing the data evaluation. They need to ensure that the AI system provides accurate and helpful responses to customer queries. What is an effective method that helps to ensure these objectives are achieved?
- A. Regularly updating the AI system's knowledge base with the latest information and feedback from customer interactions
- B. Implementing a static rule-based system alongside the AI system to handle complex customer questions
- C. Conducting quarterly performance reviews using customer satisfaction surveys
- D. Relying on periodic training sessions for customer support staff to improve their understanding of the AI system
Correct Answer: A 🗳️
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Creating machine learning models can be complicated. Your team wants to use tools called Automated Machine Learning (AutoML) to simplify the process. You know of another team that has used AutoML tools and it's saved the team a lot of time. However, what's the one area you should not have the AutoML tool help with?
- A. Automatic model selection
- B. Automatic hyperparameter tuning
- C. Automatic algorithm selection
- D. Iterative modeling and evaluation
- E. Automatic model assessment
Correct Answer: D 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
A company is evaluating whether to implement AI for a project. They have defined their business objectives and determined the AI capability they want to use. Which action will enable the project manager to move forward with the project?
- A. Implementing a preliminary version of the AI solution
- B. Identifying the contingency procedures
- C. Conducting a data quality assessment
- D. Conducting a go/no-go assessment
Correct Answer: D 🗳️
Explanation: Only visible for ExamPrepAway members. You can sign-up / login (it's free).
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