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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
Support Responsible and Trustworthy AI Efforts	15%	- Establish ethical and governance frameworks - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability
Identify Data Needs	26%	- Define data requirements and sources - Plan data collection, storage, and infrastructure - Ensure data quality, privacy, security, and compliance
Operationalize AI Solution	17%	- Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch - Deploy AI systems into production
Identify Business Needs and Solutions	26%	- Evaluate feasibility and value of AI solutions - Define requirements, scope, and success criteria - Align AI initiatives with organizational strategy
Manage AI Model Development and Evaluation	16%	- Address model drift, explainability, and limitations - Oversee model design, training, and validation - Monitor performance, accuracy, and reliability

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q179-Q184):

NEW QUESTION # 179
Your team is working on an AI system to provide a more personalized experience for customers on your website. What should the team do in regard to determining the pattern of AI with regards to the ROI of the project?

A. First identify the AI pattern you want to use and then figure out the ROI
B. First identify the objective you're trying to solve or the ROI you desire and then use that to figure out that correct pattern
C. First determine the pattern of AI you want to use and then work with stakeholders to come up with ROI
D. First talk to senior managers who set the ROI of the project

Answer: B

Explanation:
Defining the project's objective or desired ROI first guides the selection of the appropriate AI pattern, ensuring the solution aligns with business value and goals.

NEW QUESTION # 180
You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs.
Specifically, the images you need are of people in different poses. What is the best way to obtain this data?

A. Make use of this data by having employees pose in the positions required
B. Make use of data from different departments
C. Make use of this data from surveillance footage
D. Make use of Synthetic Training Data

Answer: D

NEW QUESTION # 181
A team has started working on their first AI project and they are running this project like a traditional software development project. About two months into the project the team is hitting some major issues, and you're tasked with coming in to help manage this project. Immediately you realize that AI projects need to be treated like data centric projects.
What's the next best course of action?

A. Hire an outside consulting firm to handle the technical aspects while you train the team yourself on data centric best practices
B. Hire an entirely new team making sure there is at least one data scientist on this new team
C. Bring in data centric methodology best practices to get this project back on track
D. Get the existing team up to speed and make sure existing Agile approaches can support the AI effort

Answer: C

NEW QUESTION # 182
A government agency plans to implement a new AI-driven solution for automating risk analysis.
The project team needs to ensure that all stakeholders accept the solution and the project scope is well-defined. They must identify whether the AI approach is the best solution compared to traditional methods. Which method meets this objective?

A. Utilizing a hybrid approach combining cognitive and noncognitive parts to satisfy all parties
B. Performing a comprehensive AI go/no-go assessment focusing on technology and data factors
C. Developing a prototype using generative adversarial networks (GANs)
D. Conducting a detailed analysis to evaluate other potential AI solutions

Answer: B

Explanation:
Performing a comprehensive AI go/no-go assessment helps determine whether an AI-driven solution is appropriate, feasible, and justified compared with traditional methods. It also supports stakeholder acceptance by clarifying scope, expected value, data readiness, technical suitability, and implementation risks before committing further.

NEW QUESTION # 183
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 data from a previous project
B. Use or extend a pre-trained model
C. Use cloud-based technology
D. Use Brute force method

Answer: B

Explanation:
Using or extending a pre-trained model (transfer learning) significantly speeds up training by leveraging existing learned features, reducing the need to train from scratch.

NEW QUESTION # 184
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