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PMI CPMAI Exam Syllabus Topics:

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

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q183-Q188):

NEW QUESTION # 183
Your model is going to be used for continuous monitoring of machinery, with need for continuous, instant model predictions. What's the most appropriate Model Operationalization approach?

A. Batch prediction
B. Web service / Microservice
C. Stream learning
D. Real-time prediction

Answer: D

NEW QUESTION # 184
An AI model is frequently retrained with new data to improve performance. However, stakeholders report inconsistent predictions across releases, causing confusion and reduced trust in the system. What risk is most likely occurring in this situation?

A. Bias elimination
B. Underfitting
C. Data leakage
D. Model instability

Answer: D

Explanation:
Frequent retraining without controls leads to inconsistent outputs and instability.

NEW QUESTION # 185
You're running an AI project and want to speed up training of the model so that you can complete your current CPMAI iteration within the two week timeframe the team has set.
What's one approach to speed up model training?

A. Use cloud-based technology
B. Use Brute force method
C. Use data from a previous project
D. Use or extend a pre-trained model

Answer: D

NEW QUESTION # 186
An organization is to undertake a multi-pattern AI project. They want to build a robot that is able to roam the halls as well as converse with employees and answer basic questions.
What is the best approach for handling this project?

A. Run each pattern in isolation, with separate teams
B. Run each pattern as its own project, with their own CPMAI phase iterations, data requirements, and project needs
C. Run it as one project, combining teams, data requirements, and project needs
D. Run it as a hybrid approach and some phases are run separately while other phases are combined together

Answer: D

NEW QUESTION # 187
A healthcare organization plans to develop an AI-driven diagnostic tool. To define the required data, the project manager needs to ensure data consistency and accessibility. Which method should the project manager use?

A. Leveraging natural language processing (NLP) to standardize patient records
B. Performing a data quality assessment with extraction, transformation, and loading (ETL) processes
C. Integrating electronic health records (EHR) with AI through machine learning (ML) algorithms
D. Employing a hybrid cloud strategy for scalable data storage

Answer: B

Explanation:
Performing a data quality assessment with extraction, transformation, and loading processes helps ensure healthcare data is consistent, accessible, cleaned, transformed, and prepared in a usable format for the diagnostic AI tool.

NEW QUESTION # 188
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