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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: CPMAI Methodology	41%	- Phase IV: Model Evaluation 1. Oversee AI/ML model QA/QC 2. Evaluate model performance against metrics - Phase II: Data Identification & Curation 1. Identify data needs 2. Assess data readiness and quality - Phase III: Algorithm Selection & Model Training 1. Oversee AI/ML model technique selection 2. Manage model training and configuration - Phase V: Operationalization 1. Define success criteria and monitoring 2. Plan for deployment and integration - Phase VI: Iteration & Monitoring 1. Continuous monitoring and iteration 2. Retraining and model drift management - Phase I: Problem Identification 1. Evaluate initial AI feasibility 2. Identify business needs and solutions
Topic 2: AI Fundamentals	16%	- AI capabilities and limitations - Concepts and terminology of Artificial Intelligence - Types of AI and Machine Learning
Topic 3: Data for AI	13%	- Data preparation and preprocessing - DataOps concepts - Data strategy and governance
Topic 4: Machine Learning	13%	- Deep Learning and Neural Networks - Supervised, Unsupervised, and Reinforcement Learning - Algorithms and models (e.g., NLP, Computer Vision)
Topic 5: Trustworthy AI	9%	- Privacy and security - Transparency and explainability - Ethical considerations and bias
Topic 6: Managing AI	8%	- Managing AI project teams and resources - Risk management in AI projects - Stakeholder management

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q286-Q291):

NEW QUESTION # 286
During CPMAI Methodology Phase IV: Model Development, which of the following is not done during this phase?

A. Model training
B. Model tuning
C. Algorithm Selection
D. Model Selection

Answer: D

Explanation:
Model selection typically occurs after development, during the evaluation and validation phase, rather than during the Model Development phase where algorithms are selected, trained, and tuned.

NEW QUESTION # 287
Your team is working on a new project for finding the most optimal flow of warehouse robots on the warehouse floor. Which type of machine learning approach would be most appropriate to pick for this problem?

A. All would work equally well
B. Supervised Learning
C. Reinforcement Learning
D. Unsupervised Learning

Answer: C

Explanation:
Reinforcement learning is well-suited for optimizing sequential decision-making tasks like robot navigation, where agents learn optimal actions through interaction with the environment.

NEW QUESTION # 288
You have been tasked at your organization to manage a large language model (LLM) project.
Identify what LLMs are useful for. (Select all that apply.)

A. Classify and categorize content
B. Code generation
C. Improve search quality
D. Machine Translation
E. Process automation
F. Text summarization

Answer: A,B,C,D,E,F

NEW QUESTION # 289
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 yourselfon data centric best practices
B. Hire an entirely new team making sure there is at least one data scientist on this centrteam
C. Get the existing team up to speed and make sure existing Agile approaches can support the AI effort
D. Bring in data centric methodology best practices to get this project back on track

Answer: D

Explanation:
Introducing data-centric methodology best practices directly addresses the core issues in AI projects and helps realign the team's approach for better outcomes.

NEW QUESTION # 290
Your team is trying to determine which pattern best fits their AI problem. To do this the project team is running through the seven patterns of AI to figure out what pattern best applies to their problem. Which of the following is the best approach?

A. Determine what you're trying to accomplish and see which pattern(s) of AI fit best.
B. When in doubt, go with the patterns and anomalies pattern as all AI projects are about pattern matching.
C. When in doubt, don't apply any pattern of AI
D. Apply every pattern to the project.

Answer: A

Explanation:
Identifying the specific goal of the project and matching it to the appropriate AI pattern(s) ensures the solution aligns with the problem's needs and maximizes effectiveness.

NEW QUESTION # 291
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