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| Section | Weight | Objectives |
|---|---|---|
| Support Responsible and Trustworthy AI Efforts | 15% | - Ensure fairness, transparency, accountability - Establish ethical and governance frameworks - Manage bias, risk, compliance, and societal impact |
| Operationalize AI Solution | 17% | - Deploy AI systems into production - Manage change, adoption, and governance post-launch - Establish monitoring, maintenance, and improvement processes |
| Manage AI Model Development and Evaluation | 16% | - Oversee model design, training, and validation - Address model drift, explainability, and limitations - Monitor performance, accuracy, and reliability |
| Identify Business Needs and Solutions | 26% | - Align AI initiatives with organizational strategy - Evaluate feasibility and value of AI solutions - Define requirements, scope, and success criteria |
| Identify Data Needs | 26% | - Define data requirements and sources - Plan data collection, storage, and infrastructure - Ensure data quality, privacy, security, and compliance |
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NEW QUESTION # 273
A company's leadership team has requested insights into the AI model's ability to support decision-making processes without requiring them to understand complex technical details.
Which step should the project manager take?
Answer: A
Explanation:
Demonstrating how the model's output can be integrated and used in end-user systems helps leadership understand the practical business value of the AI solution without requiring technical knowledge of the underlying model mechanics.
NEW QUESTION # 274
In a government healthcare AI project, the objective is to reduce patient wait times by optimizing staff schedules. After 6 months, the cost is US$500,000 with a completion rate of 60%. The project manager needs to determine the return on investment (ROI) to justify the current expenditure. What is an effective method to achieve this objective?
Answer: A
Explanation:
PMI-CPMAI expects the project manager to determine ROI by calculating expected benefits, estimating total cost of ownership, developing a financially justified business case, and creating cost- benefit analysis to support stakeholder decisions. In this scenario, the project is only 60% complete, so the full benefits (reduced wait times, throughput gains, staffing efficiency) may not yet be fully realized or measurable. Under PMI's ROI determination intent--supporting business case justification while outcomes are still unfolding--an effective method is to project future benefits and compare them to investment, which is what an NPV model enables. NPV is useful when benefits accrue over time and when decision makers need a defensible view of value before full delivery, because it discounts future benefits and costs into today's terms for comparison.
NEW QUESTION # 275
You're creating an AI-enabled chatbot that is going to access user data. What areas related to data governance do you need to make sure you're addressing? (Select all that apply.)
Answer: B,C,D,E,F
NEW QUESTION # 276
A project team has a modest dataset and is concerned that a single train-test split may produce an unreliable performance estimate.
What approach should the project manager recommend?
Answer: C
Explanation:
K-fold cross-validation partitions the data into k subsets and rotates which subset serves as the validation set, averaging results across folds. This produces a more stable performance estimate and reduces the influence of any single partition.
NEW QUESTION # 277
You're working on a project and are working with personally identifiable information (PII). What's the best approach to take when it comes to collecting and using this data?
Answer: C
Explanation:
Data anonymization protects individuals' privacy by removing or obfuscating personally identifiable information when such data is not necessary for model training.
NEW QUESTION # 278
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