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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: 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
Topic 2: Support Responsible and Trustworthy AI Efforts	15%	- Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability - Establish ethical and governance frameworks
Topic 3: Manage AI Model Development and Evaluation	16%	- Oversee model design, training, and validation - Monitor performance, accuracy, and reliability - Address model drift, explainability, and limitations
Topic 4: Operationalize AI Solution	17%	- Manage change, adoption, and governance post-launch - Deploy AI systems into production - Establish monitoring, maintenance, and improvement processes
Topic 5: Identify Data Needs	26%	- Define data requirements and sources - Ensure data quality, privacy, security, and compliance - Plan data collection, storage, and infrastructure

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q71-Q76):

NEW QUESTION # 71
You are being tasked to manage an AI project at your company and you need to identify which project to start with. What's the best way to approach this?

A. Ask key stakeholders from all groups for input about their pain points.
B. Find a project that requires 100% accuracy in the results and start with that one.
C. Go through all possible scenarios to come up with the perfect first project.
D. Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.

Answer: D

NEW QUESTION # 72
As an organization building an AI solution for your current customers based in NYC, but with possible plans for future expansion, how should you handle worldwide AI laws and regulations?

A. You're too small of an organization to be worried about laws at the moment
B. Make sure to follow relevant data, privacy, and other important laws both in the US and where you're likely to expand to in the coming year
C. Make sure to follow relevant data, privacy, and other important laws as it pertains to NYC
D. Make sure to follow relevant data, privacy, and other important laws as it pertains to the United States

Answer: B

NEW QUESTION # 73
You're working with a small inexperienced team on a new ML project. Choosing the best algorithm with the best settings given the training and test data is proving to be very hard for them. You lack the critical data science resources available on your team, and can't wait weeks until a data science resource becomes available to join your team.
What's your best course of action?

A. Find a citizen data scientist to help
B. Outsource the project ASAP
C. Put the project on hold until the resources needed become available
D. Use an AutoML solution

Answer: D

NEW QUESTION # 74
A company is using an AI model to screen job applications. Over time, the project team notices that the model disproportionately rejects applications from certain educational institutions. What is the first step the project manager should take?

A. Adjust the model's decision threshold for applications from these institutions.
B. Incorporate a fairness constraint into the model's objective function.
C. Retrain the model with equal representation from all institutions.
D. Analyze the historical data for inherent biases against these institutions.

Answer: D

Explanation:
Analyzing the historical data for inherent biases is the first step because the team must identify whether past hiring patterns, labels, or institutional representation caused the model to learn unfair rejection behavior. Understanding the source of bias is necessary before retraining, changing thresholds, or applying fairness controls.

NEW QUESTION # 75
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 V
B. Phase III
C. Phase I
D. None of the phases
E. Phase VI
F. Phase IV
G. All phases
H. Phase II

Answer: G

Explanation:
Trustworthy AI principles must be integrated throughout all phases of the CPMAI lifecycle to ensure fairness, transparency, accountability, and ethical considerations are maintained from start to finish.

NEW QUESTION # 76
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