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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% | - Establish monitoring, maintenance, and improvement processes - Deploy AI systems into production - Manage change, adoption, and governance post-launch |
| Manage AI Model Development and Evaluation | 16% | - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability - Oversee model design, training, and validation |
| Identify Business Needs and Solutions | 26% | - Align AI initiatives with organizational strategy - Define requirements, scope, and success criteria - Evaluate feasibility and value of AI solutions |
| Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability - Establish ethical and governance frameworks |
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
A team preparing data for a churn model transforms raw timestamps into derived attributes such as days since last purchase and purchase frequency over 90 days.
What activity is being performed?
- A. Data augmentation
- B. Dimensionality reduction
- C. Feature engineering
- D. Data normalization
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
During development of a healthcare AI diagnostic tool, stakeholders request improving model accuracy by using a complex black-box model, reducing interpretability. Regulatory requirements emphasize transparency in clinical decisions. How should the project manager respond to this request?
- A. Accept the change to improve performance
- B. Evaluate regulatory and business requirements for explainability
- C. Replace stakeholders with technical experts
- D. Reject the request immediately
Correct Answer: B 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
When looking to implement AI to help break the Digital Transformation logjam, it's important to:
- A. Start with basic automation and introduce AI only as needed
- B. Invest in technology solutions to solve the problem
- C. Figure out which pattern(s) of AI are needed to incorporate intelligent systems into non digital processes
- D. Have the right culture for AI
Correct Answer: D 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
An IT services company is working on a project to develop an AI-based customer support system.
During data preparation, the project manager needs to clean and transform customer interaction logs. What is an effective technique to handle any missing data?
- A. Ignore missing data if it seems insignificant.
- B. Duplicate existing data to fill in missing gaps.
- C. Remove records with missing values if minimal.
- D. Fill missing values with zeros without analysis.
Correct Answer: C 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
During the initial phase of an AI project, the team is assessing project success criteria. The project manager discovers that the project may be violating some compliance rules. What problem describes the issue the project team is facing?
- A. Inadequate separation of cognitive and noncognitive software
- B. Absence of a clear AI go/no-go assessment
- C. Lack of clarity on the project's business objective
- D. Failure to identify applicable data regulations early on
Correct Answer: D 🗳️
Explanation: Only visible for Exam4Free members. You can sign-up / login (it's free).
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