PMI CPMAI Questions & Answers - in .pdf
- Total Q&A: 324
- Update: Aug 26, 2026
- Price: $59.99
- Vendor: PMI
- Exam Code: CPMAI
- Exam Name: Cognitive Project Management in AI (PMI-CPMAI)
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PMI CPMAI Q&A - Testing Engine
- Total Q&A: 324
- Update: Aug 26, 2026
- Price: $59.99
- Vendor: PMI
- Exam Code: CPMAI
- Exam Name: Cognitive Project Management in AI (PMI-CPMAI)
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PMI CPMAI Exam Syllabus Topics:
| Section | Weight | Objectives |
| Data Preparation for AI | | - Data cleaning and transformation
- 1. Data quality assurance
- 2. Feature engineering and preparation
|
| Identify Business Needs and Solutions | 26% | - Problem framing and business alignment
- 1. Feasibility and ROI analysis
- 2. Define AI business objectives
|
| AI System Testing and Evaluation | | - Model evaluation and monitoring
- 1. Explainability and reliability assessment
- 2. Performance evaluation and drift detection
|
| AI Operationalization and Governance | | - Deployment and lifecycle management
- 1. Continuous improvement and monitoring
- 2. AI governance and responsible AI
|
| AI Model Development and Iteration | | - Model building and validation
- 1. Iterative delivery approach
- 2. Machine learning / generative AI model development
|
| Data for AI | | - Data identification and governance
- 1. Data compliance and ethics
- 2. Data sourcing and selection
|
PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions:
1. You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?
A) Implement a new data privacy policy
B) Use noise reduction techniques to reduce all forms of data noise
C) If this data is not needed, use Data anonymization techniques to remove it before feeding to models
D) Store the data in a data warehouse
2. Your team is ready to operationalize the model they have been working on. It's a model that is meant to be used on an "edge device", specifically a mobile phone and the user may sometimes be in remote locations without regular access to the internet. What's the most important thing to consider here?
A) Make sure the model lives on the edge device so it can be used regardless of internet connection
B) Make sure that you can use Generative AI solutions on an edge device
C) Make sure the model lives in a hybrid environment
D) Make sure the model is available over a cloud-based API
3. Your team is starting a new facial recognition project and you want to ensure that the project is being done with Trustworthy AI in mind. At what phase of CPMAI would Trustworthy AI be considered?
A) Phase III
B) Phase V
C) Phase IV
D) Phase VI
E) Phase I
F) None of the phases
G) All phases
H) Phase II
4. A retail bank wants to reduce fraudulent transactions by detecting unusual card activity in near real time. Which AI capability should be used?
A) Autonomous systems
B) Predictive analytics
C) Conversational
D) Hyperpersonalization
5. A team is running a forecasting project and wants to use previous user data to better predict future outcomes. However, the team does not have access to all the data they need.
Which action should the project manager take?
A) Move forward cautiously with the understanding that there may be a need for a pause mid-project.
B) Move forward in order to remain on schedule with the project.
C) Do not move forward until access is given to all the necessary data.
D) Move forward while anticipating data access is given when needed. An iterative approach provides the ability to return to steps as needed later on.
Solutions:
Question # 1 Answer: C | Question # 2 Answer: A | Question # 3 Answer: G | Question # 4 Answer: B | Question # 5 Answer: D |
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