Cognitive Project Management in AI (PMI-CPMAI) Exam Questions Can Help You Gain Massive Knowledge - ActualCollection

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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Data for AI13%- Data strategy and governance
- Data preparation and preprocessing
- DataOps concepts
AI Fundamentals16%- Concepts and terminology of Artificial Intelligence
- AI capabilities and limitations
- Types of AI and Machine Learning
Machine Learning13%- Algorithms and models (e.g., NLP, Computer Vision)
- Deep Learning and Neural Networks
- Supervised, Unsupervised, and Reinforcement Learning
Trustworthy AI9%- Ethical considerations and bias
- Privacy and security
- Transparency and explainability
CPMAI Methodology41%- 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 IV: Model Evaluation
  • 1. Evaluate model performance against metrics
  • 2. Oversee AI/ML model QA/QC
- 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 VI: Iteration & Monitoring
  • 1. Retraining and model drift management
  • 2. Continuous monitoring and iteration
Managing AI8%- 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 (Q195-Q200):

NEW QUESTION # 195
You're in charge of marketing at your organization and you've been tasked with using AI to help create marketing images. What's a good solution for this need?

Answer: D


NEW QUESTION # 196
Using machine learning and other cognitive approaches to understand how to take past / existing behavior and predict future outcomes or help humans make decisions about future outcomes using insight learned from past behavior / interactions / data is a core part to which pattern(s) of AI?

Answer: C

Explanation:
Using machine learning to analyze past behavior and predict future outcomes or assist decision- making is central to the Predictive Analytics & Decision Support pattern in AI.


NEW QUESTION # 197
You have been receiving customer data for the past six months. However recently you notice that this data has drastically changed due to the upcoming holiday season. What seems to be taking place?

Answer: C

Explanation:
Data drift occurs when the statistical properties of input data change over time, such as seasonal variations, affecting model performance if not addressed.


NEW QUESTION # 198
You have been receiving customer data for the past six months. However recently you notice that this data has drastically changed due to the upcoming holiday season.
What seems to be taking place?

Answer: C


NEW QUESTION # 199
Your model has been working fine for the last three months, however recently you notice the model's performance has greatly declined. What seems to have been overlooked in your workflow pipeline?

Answer: B

Explanation:
Regular model retraining is essential to maintain performance as data changes over time; neglecting this leads to degraded model accuracy.


NEW QUESTION # 200
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