CCAR-P Practice Question: Stakeholder Communication and Lifecycle Management
How should an architect manage the expectations of a stakeholder who expects 100% accuracy from an AI model?
⚠ Common exam trap
Candidates often attempt to promise 'better prompts' or 'more data' to achieve 100% accuracy, failing to manage the stakeholder's misconception that LLMs can be perfectly deterministic systems.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Explain the probabilistic nature and implement human-in-the-loop reviews.
Managing expectations regarding accuracy is a critical communication challenge. By explaining that LLMs are probabilistic, not deterministic, the architect aligns the stakeholder with the reality of the technology. This is vital to prevent the stakeholder from viewing non-perfect results as system failure, and instead encouraging them to design feedback loops or human-in-the-loop validation that can mitigate the inherent risks of generative AI.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Promise that future model versions will be 100% accurate.
Why it's wrong here
Promising perfect accuracy is dishonest and sets the project up for inevitable disappointment. No LLM can guarantee 100% accuracy due to its fundamental probabilistic nature. Such promises create a massive credibility gap that will be exposed as soon as the model makes an error, likely resulting in project cancellation.
- ✓
Explain the probabilistic nature and implement human-in-the-loop reviews.
Why this is correct
Providing a technical explanation of the model's behavior shifts the conversation from impossibility to risk management. Implementing human-in-the-loop (HITL) processes is the industry-standard way to handle tasks requiring high reliability. This shows the architect is designing a practical, safe, and realistic system that balances automation with necessary quality control measures.
- ✗
Focus on the speed of the model to distract from accuracy issues.
Why it's wrong here
Distraction techniques are unprofessional and disrespectful to the stakeholder. The architect's role is to address concerns head-on, not to use misdirection. If the stakeholder is worried about accuracy, that is the problem that needs to be solved, not hidden behind metrics that don't matter to them.
- ✗
Tell them to lower their standards for the project.
Why it's wrong here
Telling a stakeholder to 'lower their standards' is dismissive and invalidates their business requirements. Instead, the architect should discuss how to meet their requirements using the available technology in a safe and reliable way. This response demonstrates a lack of communication skills and a failure to engage with the stakeholder's goals.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Anthropic exam blueprint
This CCAR-P practice question is part of Courseiva's free Anthropic certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CCAR-P exam.