Exam CPMAI Collection, Prep CPMAI Guide

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PMI CPMAI Exam Syllabus Topics:

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

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q181-Q186):

NEW QUESTION # 181
A project manager is reviewing the performance of an AI model used for predictive analytics in sales. The model's accuracy is within acceptable limits; however, its precision is low.
What is the cause for the precision issue?

A. The model is overfitting the training data
B. The training data is unbalanced
C. The model is underfitting the validation data
D. The feature selection process is flawed

Answer: B

NEW QUESTION # 182
An AI model trained on historical transaction data performs well initially. Over time, customer behavior changes due to market conditions, causing declining prediction accuracy. The team observes a mismatch between training and current data distributions. What is this issue called?

A. Concept drift
B. Underfitting
C. Data leakage
D. Overfitting

Answer: A

Explanation:
Concept drift occurs when data patterns change over time, degrading model performance.

NEW QUESTION # 183
An IT services company is developing an AI system to automate network security monitoring. The project manager needs to consider various factors to mitigate risks associated with false positives and false negatives. Which action should the project manager implement?

A. Conducting model combinations and trade offs
B. Implementing a robust data security validation process
C. Operationalizing the nearest neighbor detection algorithms
D. Establishing a continuous feedback loop with security

Answer: D

Explanation:
Establishing a continuous feedback loop with security teams helps validate alerts, refine model behavior, and adjust detection rules or thresholds based on real-world monitoring outcomes. This directly reduces the impact of false positives and false negatives in network security operations.

NEW QUESTION # 184
Your team is working on an AI-enabled chatbot to be placed on the website. The goal of the chatbot is to be able to answer questions 24/7 to service clients around the globe. When evaluating your data you realize you don't have enough data to train the model.
What's the best course of action?

A. Research what Third-Party Models are available and purchase them to keep the project moving
B. Do not move forward with the project
C. Ask your customer service team to generate additional data for you to use for the project
D. Use the data that you have and keep the project moving

Answer: A

NEW QUESTION # 185
You're working on a computer vision application and realize that you do not have enough real world data for the project. You need additional data created to support your training needs.
Specifically, the images you need are of people in different poses. What is the best way to obtain this data?

A. Make use of Synthetic Training Data
B. Make use of this data from surveillance footage
C. Make use of this data by having employees pose in the positions required
D. Make use of data from different departments

Answer: A

NEW QUESTION # 186
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