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PMI CPMAI Exam Syllabus Topics:

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

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q162-Q167):

NEW QUESTION # 162
An organization needs a document classification capability. A commercial service already provides this function at acceptable accuracy, while an internal build would take an estimated nine months.
What should the project manager evaluate first?

A. Whether the capability represents a competitive differentiator for the organization
B. Whether the internal team has the necessary skills
C. Whether the commercial service costs less over five years
D. Whether the commercial service can be customized

Answer: A

Explanation:
Build decisions are justified when the capability provides differentiation that a commodity service cannot deliver. If the function is not a differentiator, buying conserves resources for work that creates distinct organizational value.

NEW QUESTION # 163
You're being told by upper management that you need to manage a new AI project. You need to determine the AI project fit to make sure you're actually solving a real business problem. During phase I: Business Understanding, you should consider at least one of the following (Select all that apply):

A. Improve company competitiveness in the market
B. Solves a previously unsolved problem
C. Enhance revenue
D. Has the "cool" factor
E. Solves an already solved problem but does it better and cheaper
F. Explores a proof of concept for an AI project

Answer: A,B,C,E

NEW QUESTION # 164
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. Iterative modeling and evaluation
B. Automatic model selection
C. Automatic algorithm selection
D. Automatic hyperparameter tuning
E. Automatic model assessment

Answer: B

NEW QUESTION # 165
An AI project must comply with strict data protection and industry regulations. The project manager needs to ensure all processes align with legal requirements throughout the lifecycle.
Which stakeholder is most critical to involve continuously?

A. Scrum master
B. UX designer
C. Data engineer
D. Legal and compliance officer

Answer: D

Explanation:
Legal/compliance ensures adherence to regulatory requirements.

NEW QUESTION # 166
Your team has collected petabytes of data for your AI project. As the project lead, you understand this is too much data to use for this iteration of the project. What is the best course of action to take with this data?

A. Careful algorithm selection that reduces the need for data.
B. Data integration focused on reducing the number of data sources.
C. Data Deduping to reduce overall size and data complexity.
D. Data selection and attribute pruning to reduce overall size and data complexity.

Answer: D

Explanation:
Data selection and attribute pruning help reduce dataset size and complexity by focusing on relevant features and samples, making model training more efficient without losing important information.

NEW QUESTION # 167
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