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PMI CPMAI Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Machine Learning	13%	- Supervised, Unsupervised, and Reinforcement Learning - Deep Learning and Neural Networks - Algorithms and models (e.g., NLP, Computer Vision)
Topic 2: AI Fundamentals	16%	- Types of AI and Machine Learning - AI capabilities and limitations - Concepts and terminology of Artificial Intelligence
Topic 3: CPMAI Methodology	41%	- Phase V: Operationalization 1. Plan for deployment and integration 2. Define success criteria and monitoring - Phase III: Algorithm Selection & Model Training 1. Manage model training and configuration 2. Oversee AI/ML model technique selection - Phase II: Data Identification & Curation 1. Identify data needs 2. Assess data readiness and quality - Phase VI: Iteration & Monitoring 1. Retraining and model drift management 2. Continuous monitoring and iteration - Phase I: Problem Identification 1. Identify business needs and solutions 2. Evaluate initial AI feasibility - Phase IV: Model Evaluation 1. Evaluate model performance against metrics 2. Oversee AI/ML model QA/QC
Topic 4: Data for AI	13%	- Data strategy and governance - Data preparation and preprocessing - DataOps concepts
Topic 5: Trustworthy AI	9%	- Ethical considerations and bias - Transparency and explainability - Privacy and security
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 (Q181-Q186):

NEW QUESTION # 181
Leadership wants a new HR system built that will better handle potential candidate matching. The project manager assigned to this project believes that the project is well-suited for AI, however they are unsure which pattern of AI this would be.
What should the project manager do?

A. Determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
B. Pick an algorithm that seems best suited for the problem and then determine which pattern of AI it is based on the algorithm selected.
C. Conduct a straw poll with stakeholders to determine which pattern of AI this project falls under so they can best collect the data needed and skill sets for the team.
D. Move forward without determining which pattern of AI this falls under.

Answer: A

NEW QUESTION # 182
One of the key elements of a data-centric methodology is the data requirements phase. During CPMAI Phase II, several unexpected issues have developed and are now threatening the data collection efforts.
What course of action might make the issue worse?

A. See if you can expand the scope to continue with the project
B. See if you can purchase the data needed to continue with the project
C. See if you can adjust the scope of this interaction to continue with the project
D. See if you already have access to enough data to continue with the project

Answer: C

NEW QUESTION # 183
An IT services company is integrating an AI solution to automate its customer service functions.
The integration team is facing resistance from the customer's employees. Which action should the project manager perform to manage this risk?

A. Mandate immediate transition from management.
B. Conduct all-hands meetings on the benefits.
C. Offer the option to join another team.
D. Implement a gradual phased rollout.

Answer: D

Explanation:
Implementing a gradual phased rollout helps reduce employee resistance by allowing users to adapt incrementally, receive support, provide feedback, and build confidence in the AI solution before full transition.

NEW QUESTION # 184
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. Unsupervised Learning
C. Reinforcement Learning
D. Supervised 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 # 185
Enhancing and cleaning data is an important action during which phase of CPMAI?

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

Answer: A

NEW QUESTION # 186
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