CCAR-P Practice Question: Stakeholder Communication and Lifecycle Management
During a project post-mortem, stakeholders feel that the technical limitations of the LLM were not clearly explained during the planning phase. What action would have best mitigated this perception?
⚠ Common exam trap
Candidates often select technical documentation handoffs or post-project surveys, forgetting that proactive expectation-setting workshops during planning are vital to prevent stakeholder misalignment.
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
✓
Conduct an expectation-setting workshop demonstrating both model strengths and known limitations.
Transparency regarding model capabilities and constraints is vital for setting realistic expectations. By providing a clear, non-technical overview of what the model can and cannot do during the initial planning phase, stakeholders can better align their business objectives with the actual technical reality, reducing disappointment and friction during later project stages and establishing a foundation of trust and professional credibility.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Provide stakeholders with the full technical whitepaper of the model's training data.
Why it's wrong here
The full technical whitepaper is often too dense for non-technical stakeholders to digest effectively. The objective is to communicate how limitations impact their specific business use case, not to provide excessive technical detail that does not improve their decision-making or understanding of the project's success criteria.
- ✓
Conduct an expectation-setting workshop demonstrating both model strengths and known limitations.
Why this is correct
An interactive workshop allows stakeholders to see the model in action, creating a balanced understanding of its capabilities and constraints. This direct experience helps stakeholders frame their expectations appropriately, ensuring they understand the necessity of human-in-the-loop workflows and other safeguards required for a production-ready system.
- ✗
Include a disclaimer in the final project report acknowledging the potential for errors.
Why it's wrong here
Adding a disclaimer at the end of the project is too late to influence stakeholder expectations or project design. Effective communication must be continuous and proactive, occurring throughout the lifecycle to ensure that stakeholders are fully aware of risks and limitations before they become critical issues during execution.
- ✗
Ask the AI engineers to write a memo outlining the model's performance metrics.
Why it's wrong here
Performance metrics without context are often misunderstood by non-technical stakeholders. A memo provides one-way communication that does not allow for clarifying questions or real-world application examples, failing to address the fundamental gap in understanding that lead to the stakeholder's perception of poor project management.
About these practice questions
Courseiva writes every CCAR-P question from scratch — 262 in total, each with an explanation and a wrong-answer breakdown. None are copied from real exams or dumps. Learn why practice questions differ from exam dumps →
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.