CCAR-P Practice Question: Stakeholder Communication and Lifecycle Management
You are the lead architect for a Claude-powered document summarization service used by the legal department. Six weeks after launch, the department's managing partner states that the summaries 'miss the point' and that the team has lost confidence in the tool. Logs show the service is technically healthy with 99.9% availability and low latency. What is the most effective next step to restore stakeholder confidence?
⚠ Common exam trap
The trap here is treating a stakeholder's quality complaint as an infrastructure reliability problem and responding with SLA metrics instead of investigating what 'good' means to them.
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
✓
Schedule a working session with the managing partner to review 20 recently generated summaries together and capture explicit criteria for what a 'correct' summary contains.
Perceived quality failures require eliciting the stakeholder's actual success criteria before changing anything technical. A structured review of real outputs turns an abstract complaint into concrete requirements that can drive prompt engineering, evaluation datasets, and acceptance tests. This approach respects the stakeholder's expertise, produces actionable data, and rebuilds confidence through collaboration rather than defensiveness.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Schedule a working session with the managing partner to review 20 recently generated summaries together and capture explicit criteria for what a 'correct' summary contains.
Why this is correct
A joint review of real outputs converts a vague complaint into observable, testable criteria. Capturing what the managing partner considers a correct summary gives you ground truth for prompt refinement, evaluation sets, and acceptance criteria. This directly addresses the perceived quality gap while rebuilding trust through transparency rather than defending uptime metrics that do not reflect the stakeholder's actual concern.
- ✗
Increase the model's max_tokens and temperature settings so that summaries become longer and more varied, giving the legal team more content to work with.
Why it's wrong here
Raising max_tokens and temperature changes output length and variability, not relevance to the legal team's intent. Higher temperature can introduce more drift from the source document, worsening perceived accuracy. Without first understanding what 'misses the point' means to the managing partner, this adjustment is speculative and may erode confidence further by producing noisier summaries.
- ✗
Immediately roll back to the previous model version and notify the legal department that the service will be paused until a full quality audit is completed.
Why it's wrong here
Pausing a technically healthy service and rolling back without evidence of a regression is a disproportionate response that disrupts legal workflows further. It also assumes the model version caused the problem, which the scenario does not support. A measured investigation into the stakeholder's definition of quality should precede any rollback or suspension decision.
- ✗
Send the managing partner a detailed report showing the service's 99.9% availability and p95 latency figures, demonstrating that the platform is performing within its SLA.
Why it's wrong here
Availability and latency are operational metrics, not measures of summarization usefulness. Presenting them in response to a quality complaint signals that you have not understood the stakeholder's concern, which can damage the relationship. The managing partner is evaluating whether summaries serve legal work, and infrastructure dashboards do not answer that question.
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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.