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The Cognitive Project Management in AI (PMI-CPMAI) (CPMAI) web-based practice test is compatible with these browsers: Chrome, Safari, Internet Explorer, MS Edge, Firefox, and Opera. This Cognitive Project Management in AI (PMI-CPMAI) (CPMAI) practice exam does not require any software installation as it is web-based. It has similar specifications to the PMI CPMAI desktop-based practice exam software, but it requires an internet connection.
| Section | Weight | Objectives |
|---|---|---|
| Operationalize AI Solution | 17% | - Establish monitoring, maintenance, and improvement processes - Deploy AI systems into production - Manage change, adoption, and governance post-launch |
| 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 |
| Manage AI Model Development and Evaluation | 16% | - Monitor performance, accuracy, and reliability - Oversee model design, training, and validation - Address model drift, explainability, and limitations |
| Identify Data Needs | 26% | - Plan data collection, storage, and infrastructure - Define data requirements and sources - Ensure data quality, privacy, security, and compliance |
| Support Responsible and Trustworthy AI Efforts | 15% | - Manage bias, risk, compliance, and societal impact - Ensure fairness, transparency, accountability - Establish ethical and governance frameworks |
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NEW QUESTION # 268
A government agency plans to implement a new AI-driven solution for automating risk analysis.
The project team needs to ensure that all stakeholders accept the solution and the project scope is well-defined. They must identify whether the AI approach is the best solution compared to traditional methods. Which method meets this objective?
Answer: B
Explanation:
Performing a comprehensive AI go/no-go assessment helps determine whether an AI-driven solution is appropriate, feasible, and justified compared with traditional methods. It also supports stakeholder acceptance by clarifying scope, expected value, data readiness, technical suitability, and implementation risks before committing further.
NEW QUESTION # 269
You are working on the data engineering pipeline for the AI project and you want to make sure to address the creation of pipelines to deal with model iteration. What part of the pipeline best deals with this step?
Answer: D
Explanation:
Retraining pipelines automate the process of updating models with new data, enabling continuous iteration and improvement of AI models.
NEW QUESTION # 270
A project manager is planning the first iteration of an AI initiative that will eventually support twelve business processes across four regions.
What is the recommended scoping approach for the initial iteration?
Answer: D
Explanation:
CPMAI is iterative and incremental, with each iteration delivering a small, complete slice of value.
A narrow initial use case validates data availability, technical feasibility, and business value quickly while limiting exposure if assumptions prove incorrect.
NEW QUESTION # 271
An insurance company is selecting an AI approach to automate simple claim approvals for low- risk cases. The organization wants the system to take actions with minimal human intervention based on predefined policies. Which AI capability best fits?
Answer: D
Explanation:
In PMI's Seven Patterns of AI, capability selection depends on whether the system is primarily advising humans or acting on their behalf. When the goal is to automate operational actions-- approving or routing claims under policy constraints with minimal human intervention--the capability aligns with autonomous systems, which emphasize automated execution within defined rules, safeguards, and operational boundaries. Predictive analytics (B) can score risk, but it typically supports decision support; autonomous systems extend this by taking actions automatically according to governance-approved policies. PMI-CPMAI's responsible and trustworthy AI principles reinforce that higher-autonomy use cases require stronger controls: clear escalation paths, contingency plans, monitoring, and audit trails to ensure accountability for automated decisions.
NEW QUESTION # 272
A project manager is defining the operationalization plan for a deployed model and must specify when retraining occurs.
What is the most effective approach?
Answer: A
Explanation:
Threshold-based triggers tie retraining to measured degradation rather than arbitrary intervals, avoiding both unnecessary retraining and prolonged periods of poor performance. Monitoring metrics against defined thresholds is a core operationalization control.
NEW QUESTION # 273
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