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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Support Responsible and Trustworthy AI Efforts | 15% | - Establish ethical and governance frameworks - Ensure fairness, transparency, accountability - Manage bias, risk, compliance, and societal impact |
| Topic 2: Identify Business Needs and Solutions | 26% | - Define requirements, scope, and success criteria - Evaluate feasibility and value of AI solutions - Align AI initiatives with organizational strategy |
| Topic 3: Manage AI Model Development and Evaluation | 16% | - Oversee model design, training, and validation - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability |
| Topic 4: Identify Data Needs | 26% | - Plan data collection, storage, and infrastructure - Define data requirements and sources - Ensure data quality, privacy, security, and compliance |
| Topic 5: Operationalize AI Solution | 17% | - Establish monitoring, maintenance, and improvement processes - Manage change, adoption, and governance post-launch - Deploy AI systems into production |
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NEW QUESTION # 34
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?
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 # 35
An IT services company is integrating an AI solution to automate its customer service functions.
The integration team is facing resistance from the customer's employees. Which action should the project manager perform to manage this risk?
Answer: B
Explanation:
Implementing a gradual phased rollout helps reduce employee resistance by allowing users to adapt incrementally, receive support, provide feedback, and build confidence in the AI solution before full transition.
NEW QUESTION # 36
An AI recommendation system has been in production for four months. The project manager wants to ensure the solution continues to deliver business value.
What is the most effective mechanism?
Answer: D
Explanation:
A feedback loop captures actual outcomes from production use and returns them to the monitoring and retraining process. This closes the CPMAI lifecycle, allowing the solution to be measured against business results and improved through subsequent iterations.
NEW QUESTION # 37
You have just joined a team and they are working on a new project. The project lead isn't sure what type of technology should be used on this project - AI or a traditional software development approach. What is the best way to determine if you have the criteria for a good AI/ML Project?
Answer: A
NEW QUESTION # 38
A project team is working on an AI solution that needs to be both scalable and compliant with various regulations. They need to ensure all cognitive components are thoroughly evaluated for ethical considerations. The team has identified multiple patterns for the project.
How should the team proceed?
Answer: D
Explanation:
A detailed ethical review ensures that every cognitive component is assessed for issues such as fairness, transparency, accountability, privacy, and regulatory implications. This allows the team to identify and address ethical risks before the AI solution is scaled or deployed.
NEW QUESTION # 39
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