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CCAR-P Practice Question: Stakeholder Communication and Lifecycle Management

Which TWO actions should an architect take during the 'Design Phase' to ensure long-term model governance with stakeholders?

⚠ Common exam trap

Candidates often select implementation-heavy actions like fine-tuning or immediate deployment, forgetting that long-term governance specifically requires upfront evaluation criteria and ongoing performance reviews.

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

✓

Define clear evaluation criteria for model quality and latency.

Effective governance requires early alignment on metrics and clear documentation of model limitations. By defining success criteria and establishing recurring review cadences, the architect ensures that stakeholders remain informed as the project matures. This approach is critical because LLM behaviors can evolve, and maintaining visibility into performance drifts or safety guardrail effectiveness is essential for long-term project success and continued stakeholder trust in the AI implementation.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✓

    Define clear evaluation criteria for model quality and latency.

    Why this is correct

    Establishing measurable metrics early provides an objective basis for evaluating success. It allows the team and stakeholders to speak the same language when assessing performance, preventing subjective feedback. This clarity is vital for operationalizing the model, as it sets explicit boundaries for what constitutes an acceptable production-ready response.

  • ✗

    Grant stakeholders direct access to the Anthropic console.

    Why it's wrong here

    Providing direct access to the console for non-technical stakeholders introduces significant security and configuration risks. Governance should be managed through controlled environments and reporting tools, not by bypassing organizational access controls. This action creates unnecessary complexity and potential for accidental configuration changes that could compromise the entire architecture.

  • ✓

    Establish a regular cadence for model performance reviews.

    Why this is correct

    A structured review process ensures that stakeholders are consistently updated on performance trends and potential issues. It allows the team to pivot strategy based on empirical evidence rather than anecdotal reports. This cycle of feedback is essential for maintaining alignment and proactively addressing drift in model behavior over time.

  • ✗

    Avoid mentioning model limitations to prevent project delays.

    Why it's wrong here

    Transparency regarding model limitations is a cornerstone of responsible architecture. Hiding potential issues creates a false sense of security that leads to significant project risks during production. Proactive disclosure allows stakeholders to participate in risk mitigation strategies, which is far safer than discovering major flaws after deployment.

  • ✗

    Focus solely on technical implementation without documentation.

    Why it's wrong here

    Documentation is a prerequisite for long-term governance and stakeholder communication. Without a record of architectural decisions, the team lacks context for future maintenance and troubleshooting. This practice ignores the lifecycle management aspect of the role, leading to technical debt and loss of knowledge when personnel changes occur.

About these practice questions

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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.