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PMI CPMAI Exam Syllabus Topics:

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

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q107-Q112):

NEW QUESTION # 107
A team is evaluating different AI models for their project. They are considering error rates and overall performance. If the team had selected a model based solely on the error rate, what would be the outcome?

A. A better performance across the chosen domains
B. An increase in stakeholder satisfaction based on performance
C. A potential to overlook other critical performance metrics
D. A balanced performance across all metrics

Answer: C

Explanation:
Selecting a model only by error rate can ignore other important measures such as precision, recall, fairness, robustness, explainability, latency, and business impact. A model may have a low error rate while still performing poorly against the broader criteria needed for project success.

NEW QUESTION # 108
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. Data leakage
B. Concept drift
C. Underfitting
D. Overfitting

Answer: B

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

NEW QUESTION # 109
You've built your model and now need to see if it actually works as expected. In which phase of CPMAI is this done?

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

Answer: D

Explanation:
Phase V of CPMAI involves model evaluation and testing to validate if the model performs as expected before deployment.

NEW QUESTION # 110
In the case that an algorithm you want to use isn't algorithmically explainable, AI systems should try to do the following:

A. Provide a means to reverse-engineer the algorithm to inspect its performance
B. Provide a means to interpret AI results so that cause and effect can be represented
C. Provide a means to have contestability of the algorithm selected
D. Provide a means to have a different team on the project

Answer: B

Explanation:
When algorithms lack inherent explainability, providing interpretable AI results helps users understand cause and effect, improving trust and transparency.

NEW QUESTION # 111
Humans have an innate capability that cognitive machines have not been able to replicate. What illustrates the core aspect of human intelligence related to the ability to adapt to new situations?

A. Manipulating the environment through random action.
B. Processing large volumes of information quickly.
C. Applying past experiences to solve unfamiliar problems.
D. Performing tasks based on symbolic reasoning.

Answer: C

Explanation:
Human intelligence is strongly characterized by adaptive learning-the ability to transfer knowledge and lessons from prior experiences to unfamiliar situations and use them to solve new problems effectively.

NEW QUESTION # 112
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A lot of progress is being made in the PMI sector today. Many companies offer job opportunities to qualified candidates, but they have specific CPMAI certification criteria to select qualified candidates. Thus, they can filter out effective and qualified candidates from the population. Cognitive Project Management in AI (PMI-CPMAI) (CPMAI) must be taken and passed to become a certified individual.

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