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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data for AI	13%	- Data preparation and preprocessing - DataOps concepts - Data strategy and governance
Topic 2: AI Fundamentals	16%	- Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning - AI capabilities and limitations
Topic 3: CPMAI Methodology	41%	- 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 V: Operationalization 1. Plan for deployment and integration 2. Define success criteria and monitoring - 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 III: Algorithm Selection & Model Training 1. Manage model training and configuration 2. Oversee AI/ML model technique selection
Topic 4: Managing AI	8%	- Managing AI project teams and resources - Risk management in AI projects - Stakeholder management
Topic 5: Machine Learning	13%	- Deep Learning and Neural Networks - Algorithms and models (e.g., NLP, Computer Vision) - Supervised, Unsupervised, and Reinforcement Learning
Topic 6: Trustworthy AI	9%	- Ethical considerations and bias - Privacy and security - Transparency and explainability

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q248-Q253):

NEW QUESTION # 248
Your organization wants to keep an eye on AI systems for Governance purposes. What are the most crucial things to consider? (Select all that apply.)

A. Human chain of accountability
B. Data source identification
C. Vendor procurement methods
D. AI System testing requirements
E. Continuous System monitoring
F. ROI determination
G. Algorithm selection
H. Key Performance Indicators (KPIs)

Answer: A,D,E,H

NEW QUESTION # 249
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. Go through all possible scenarios to come up with the perfect first project.
C. Ask key stakeholders from your group and find a small problem that would have a big return on investment and start there.
D. Find a project that requires 100% accuracy in the results and start with that one.

Answer: C

Explanation:
Starting with a small, high-ROI problem identified through key stakeholders ensures the project is manageable and delivers tangible business value early.

NEW QUESTION # 250
Your team is working on a new facial recognition application. Since this technology has the potential to be mis-used you think it's important to set guidelines for the proper use of this application and you want to make sure the AI system is built for some positive purpose. What area of Trustworthy AI does this best fall under?

A. Transparent AI
B. Explainable AI
C. Governed AI
D. Responsible AI

Answer: D

NEW QUESTION # 251
You're looking to take an image and have a Generative AI solution generate additional content beyond the bounds of the current image size. What Generative AI approach can you use?

A. Prompt engineering for new image generation
B. Use of super-resolution to enhance the existing image
C. Use of inpainting to replace image components
D. Use of Generative Outpainting

Answer: D

Explanation:
Generative Outpainting is a technique that extends the content of an existing image beyond its original boundaries, creating new image areas that blend seamlessly with the original.

NEW QUESTION # 252
When building your model, you need to make sure you're not only checking for performance and making sure the model is giving the expected results. You also need to make sure the model is accomplishing the business objective. At what phase of CPMAI is this most appropriate to do this?

A. Phase III
B. Phase I
C. Phase VI
D. Phase V
E. Phase IV
F. Phase II

Answer: D

Explanation:
Phase V of CPMAI focuses on model evaluation, including validating that the model meets business objectives and performs as expected before deployment.

NEW QUESTION # 253
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