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| Section | Weight | Objectives |
|---|
| Identify Data Needs | 26% | - Plan data collection, storage, and infrastructure - Ensure data quality, privacy, security, and compliance - Define data requirements and sources
|
| Identify Business Needs and Solutions | 26% | - Define requirements, scope, and success criteria - Align AI initiatives with organizational strategy - Evaluate feasibility and value of AI solutions
|
| Manage AI Model Development and Evaluation | 16% | - Oversee model design, training, and validation - Monitor performance, accuracy, and reliability - Address model drift, explainability, and limitations
|
| Operationalize AI Solution | 17% | - Deploy AI systems into production - Manage change, adoption, and governance post-launch - Establish monitoring, maintenance, and improvement processes
|
| Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Establish ethical and governance frameworks - Ensure fairness, transparency, accountability
|
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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q102-Q107):
NEW QUESTION # 102
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 by having employees pose in the positions required
- C. Make use of data from different departments
- D. Make use of this data from surveillance footage
Answer: A
Explanation:
Synthetic training data can be generated to create diverse, labeled images of people in various poses, effectively augmenting real-world data without privacy or logistical concerns.
NEW QUESTION # 103
You recently completed an image recognition project at your company that was focused on identifying different types of cars. You have now been assigned a new image recognition project that is focused on identifying different types of animals. You know you can shortcut model development by using a specific technique.
What is this technique called?
- A. Pre-Trained Models
- B. Reinforcement Learning
- C. Generative AI
- D. Transfer Learning
Answer: D
NEW QUESTION # 104
An AI team is defining success criteria for a customer support chatbot. Leadership wants to approve the project but needs objective measures that reflect both business value and risk.
Which set of metrics is most appropriate?
- A. Lines of code written
- B. User satisfaction, containment rate, escalation accuracy, and privacy/compliance incidents
- C. Number of features delivered
- D. Response time only
Answer: B
Explanation:
PMI-CPMAI emphasizes establishing acceptable performance metrics and aligning AI outcomes to business value while ensuring responsible and trustworthy practices. For chatbots, business value includes deflection/containment (how many issues are resolved without human agents), customer experience (satisfaction), and operational performance (latency). Risk measures must also be included because trustworthy AI requires governance and compliance controls (privacy/security, transparency, accountability). Therefore, metrics that combine outcomes and controls--user satisfaction, containment, correct escalation/hand-off, and privacy/compliance incident rates--are the most PMI-aligned set.
NEW QUESTION # 105
A project manager is preparing a contingency plan for an AI-driven customer service platform.
They need to determine an effective strategy to handle potential system downtimes. Which strategy addresses the project manager's objective?
- A. Creating a robust customer service logging system to quickly identify and resolve issues
- B. Implementing a manual override system for critical customer queries
- C. Developing an automated fallback chatbot with limited capabilities
- D. Providing extensive training to customer service representatives on handling AI failures
Answer: B
Explanation:
PMI-CPMAI explicitly includes "Oversee AI solution contingency plan," with enablers such as incident response procedures, backup and disaster recovery strategies, escalation procedures, and business continuity plans for AI service disruptions, plus regular testing and validation of contingency procedures. For a customer service platform, the most direct "business continuity" control during downtime is a manual override path for critical queries--ensuring essential customer needs can still be handled when automation is unavailable. This strategy creates an immediate operational alternative that keeps service running, aligns with escalation procedures, and reduces harm to customers and the business during outages.
NEW QUESTION # 106
You have been tasked with creating a model that will recommend products based on what other customers have similarly purchased. Which algorithm is the best choice given this situation?
- A. Hyperpersonalization
- B. Neural Network
- C. K-means
- D. K Nearest Neighbor
Answer: D
Explanation:
K Nearest Neighbor is well-suited for recommendation systems as it identifies similar customers based on purchasing behavior to suggest products.
NEW QUESTION # 107
......
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