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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
AI Fundamentals	16%	- AI capabilities and limitations - Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning
Managing AI	8%	- Risk management in AI projects - Stakeholder management - Managing AI project teams and resources
CPMAI Methodology	41%	- Phase II: Data Identification & Curation 1. Identify data needs 2. Assess data readiness and quality - Phase I: Problem Identification 1. Evaluate initial AI feasibility 2. Identify business needs and solutions - Phase V: Operationalization 1. Define success criteria and monitoring 2. Plan for deployment and integration - Phase IV: Model Evaluation 1. Oversee AI/ML model QA/QC 2. Evaluate model performance against metrics - Phase VI: Iteration & Monitoring 1. Continuous monitoring and iteration 2. Retraining and model drift management - Phase III: Algorithm Selection & Model Training 1. Manage model training and configuration 2. Oversee AI/ML model technique selection
Trustworthy AI	9%	- Transparency and explainability - Privacy and security - Ethical considerations and bias
Machine Learning	13%	- Supervised, Unsupervised, and Reinforcement Learning - Algorithms and models (e.g., NLP, Computer Vision) - Deep Learning and Neural Networks
Data for AI	13%	- DataOps concepts - Data strategy and governance - Data preparation and preprocessing

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q315-Q320):

NEW QUESTION # 315
Senior management has tasked your group to analyze a data set to uncover insights into the dat

A. What is the best approach to use to do this?
B. Data Governance
C. Data preparation
D. Data Integration
E. Data Mining or Data Analytics

Answer: C

NEW QUESTION # 316
A project manager is preparing a contingency plan for an AI-driven customer service platform.
They need to determine an effective strategy to handle potential system downtimes. Which strategy addresses the project manager's objective?

A. Providing extensive training to customer service representatives on handling AI failures
B. Developing an automated fallback chatbot with limited capabilities
C. Implementing a manual override system for critical customer queries
D. Creating a robust customer service logging system to quickly identify and resolve issues

Answer: C

Explanation:
Implementing a manual override system ensures that critical customer queries can still be handled when the AI platform is unavailable. This provides a practical contingency path that maintains service continuity and reduces operational risk during downtime.

NEW QUESTION # 317
An AI system recommends loan approval decisions. Regulators require that a qualified employee make the final determination and be able to override the system.
What control does this requirement describe?

A. Automated bias auditing
B. Federated learning
C. Human-in-the-loop review
D. Model interpretability testing

Answer: C

Explanation:
Human-in-the-loop places a person in the decision path with authority to review, confirm, or override the system's output. This is a common requirement in regulated, high-consequence domains where full automation is not permitted.

NEW QUESTION # 318
Your company is insisting on running an automation project and applying AI best practices and methodologies to the project. You understand that automating things is just the act of using machines to repeat tasks, and does not require AI to achieve results. You think it is overkill but the project moves forward as planned.
What would likely have helped avoid this conflict?

A. Applying a hybrid approach of automation and AI best practices would have achieved better results.
B. Everyone on the team should understand the differences between automation and autonomous systems.
C. Senior management should become involved in the project.
D. Nothing - running automation projects like autonomous projects is the correct thing to do.

Answer: B

NEW QUESTION # 319
A government agency is using an AI system to analyze public data for policymaking decisions.
The project manager needs to address the risks related to data accuracy, privacy, and misuse.
What represents the highest risk to the agency?

A. The system lacks a transparency process.
B. The AI system relies on third-party providers.
C. The user data is stored in an unsecured database.
D. The AI system is not regularly updated with new data.

Answer: C

Explanation:
Storing user data in an unsecured database creates the highest risk because it directly exposes sensitive information to unauthorized access, privacy violations, misuse, and regulatory noncompliance. For a government AI system, weak data security can undermine public trust and create serious legal and ethical consequences.

NEW QUESTION # 320
......

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