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PMI CPMAI Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Manage AI Model Development and Evaluation16%- Address model drift, explainability, and limitations
- Monitor performance, accuracy, and reliability
- Oversee model design, training, and validation
Topic 2: Operationalize AI Solution17%- Manage change, adoption, and governance post-launch
- Establish monitoring, maintenance, and improvement processes
- Deploy AI systems into production
Topic 3: Identify Data Needs26%- Ensure data quality, privacy, security, and compliance
- Plan data collection, storage, and infrastructure
- Define data requirements and sources
Topic 4: Support Responsible and Trustworthy AI Efforts15%- Establish ethical and governance frameworks
- Manage bias, risk, compliance, and societal impact
- Ensure fairness, transparency, accountability
Topic 5: Identify Business Needs and Solutions26%- Align AI initiatives with organizational strategy
- Evaluate feasibility and value of AI solutions
- Define requirements, scope, and success criteria

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Updated PMI Exam CPMAI Torrent Are Leading Materials & Effective CPMAI: Cognitive Project Management in AI (PMI-CPMAI)

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PMI Cognitive Project Management in AI (PMI-CPMAI) Sample Questions (Q196-Q201):

NEW QUESTION # 196
An aerospace company is integrating AI into their manufacturing process to enhance safety and efficiency. The project team needs to evaluate potential security threats to prevent unauthorized access to sensitive data. What is the highest risk?

Answer: C

Explanation:
Operationalizing a decentralized data storage system creates the highest security risk because sensitive manufacturing and AI data may be spread across multiple locations, increasing the attack surface and making access control, monitoring, governance, and protection harder to enforce consistently.


NEW QUESTION # 197
A consulting firm is determining the feasibility of an AI project. They need to justify the use of AI over noncognitive solutions. The project manager has listed potential noncognitive alternatives.
What is an effective method to support an AI approach?

Answer: C


NEW QUESTION # 198
During CPMAI Phase II of your project, your team is going through their data collection needs.
One team member wants to make use of pre-trained models while another member is adamantly against it. As the project lead, what should you do?

Answer: C

Explanation:
Evaluating the data to determine if pre-trained models are appropriate and then researching the best-fit models ensures informed decision-making that can save time and leverage existing resources effectively.


NEW QUESTION # 199
Clean, well-labeled datasets used for machine learning are partitioned into three subsets:
Training sets, Validation sets, and Test sets. As your team is doing this, what's the best way to split up this data?

Answer: D


NEW QUESTION # 200
A healthcare project manager is evaluating whether to implement an AI-powered diagnostic tool.
The initial cost is US$500,000 with an expected return on investment (ROI) of 15% within the first year. The project needs to satisfy multiple stakeholders including hospital administrators and medical staff. Which method will maximize a positive ROI for the AI implementation?

Answer: B

Explanation:
Monitoring AI model performance against key performance indicators helps confirm that the diagnostic tool is producing measurable business and clinical value after implementation.
Tracking outcomes such as diagnostic accuracy, workflow efficiency, cost savings, and adoption supports adjustments that improve the likelihood of achieving a positive return on investment.


NEW QUESTION # 201
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