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Anthropic Claude Certified Architect - Professional – Antworten auf häufig gestellte Fragen

Anthropic Claude Certified Architect - Professional CCAR-P Prüfungsfragen mit Lösungen

Frage #1

You are compiling continuity practices that span the deployment lifecycle.
Which two practices belong on the list? (Select two.)
Each correct answer presents a complete solution.

A. Archive every phase deliverable in long-term storage to preserve a record of what was produced.
B. Maintain a stakeholder register and notify the listed parties at every phase transition event.
C. Lock decisions made in early phases to prevent revisiting them as later phases begin.
D. Capture lessons learned at the end of each phase and surface them as inputs to the next phase.
E. Carry the evaluation framework and reference set forward across iterations rather than rebuilding each time.

Frage #2

You are assessing a Claude-based system whose dominant risk is silent quality drift on safety-relevant outputs after a model-version upgrade.
Which assessment activity most directly addresses this risk?

A. Maintain an adversarial evaluation set with version-attributed scoring so each upgrade is measured against the same set before promotion.
B. Rotate adversarial inputs randomly so no two upgrades are scored on the same set.
C. Skip evaluation on each model-version upgrade and rely on user-submitted complaints to surface safety drift after the upgraded model has already served production traffic.
D. Disable adversarial evaluation entirely during model-version upgrade cycles to reduce evaluation cost, accepting that safety drift will go undetected until it appears in production.

Frage #3

A Claude architect is leading the discovery phase for a new AI-powered customer service solution.
Which two activities are characteristic of structured discovery and requirement gathering for a Claude-based deployment? (Select two.)

A. Deferring constraint documentation until the integration design phase to avoid scope creep.
B. Documenting explicit success criteria and failure thresholds that will gate production deployment.
C. Facilitating stakeholder workshops to surface latency, accuracy, and compliance constraints before scoping begins.
D. Selecting the Claude model tier based on the architect's prior project experience before stakeholder input is collected.
E. Generating an initial prototype and iterating based on user reaction rather than written requirements.

Frage #4

The platform team at Trenova Systems, Inc. needs to reduce per-query cost and p95 latency for a high-volume Claude pipeline without degrading output quality on the core use case.
Which two optimizations directly target both cost and latency simultaneously? (Select two.)

A. Enable prompt caching on the static system-prompt prefix to reduce billable input tokens on repeated calls.
B. Route straightforward query types to a smaller, faster Claude model and reserve the full model for complex cases.
C. Expand the system prompt to include additional few-shot examples on every request.
D. Add a retrieval step that fetches the full source corpus into the context window before generation.
E. Increase max_tokens to reduce the frequency of truncated responses requiring follow-up calls.

Frage #5

You are transitioning a Claude-based deployment from design into implementation.
Which handoff package most directly supports a clean transition?

A. The most recent set of design presentation slides without component-level diagrams, interface contracts, an evaluation framework with a reference set, runbooks, or a known-limitations register.
B. Source code alone with no integrating architecture overview, ADRs, component contracts, evaluation framework, runbooks, on-call playbook, or known-limitations register to support the delivery team.
C. A verbal walkthrough conducted on the day of handoff with no written architecture overview, ADRs, component contracts, evaluation framework, runbooks, playbook, or known limitations.
D. Architecture overview, ADRs, component contracts, evaluation framework with reference set, runbooks, on-call playbook, and known limitations.

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