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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

1. You are evaluating prompting claims in a peer's design document.
For each claim, select yes if the claim reflects sound practice. Otherwise, select no.

2. The engineering lead at Trenova Systems, Inc. is evaluating two proposals for improving developer workflows using Claude-assisted tooling. Proposal A adds Claude Code to the IDE for inline code generation and review. Proposal B routes all code-generation requests through a shared Slack bot without IDE integration.
Which two observations most accurately evaluate these proposals against workflow-improvement objectives?
(Select two.)

A) Both proposals are equivalent because the model capabilities are identical regardless of the integration point.
B) Proposal A reduces context switching by providing AI assistance at the point of development without requiring a separate tool.
C) Proposal B introduces workflow friction by requiring developers to leave the IDE, undermining the productivity objective.
D) Proposal B improves workflow velocity because Slack notifications create an asynchronous review queue.
E) Proposal B is superior because centralizing requests in Slack creates an auditable log of all code- generation activity.

3. An operations engineer reports that a Claude-based pipeline began returning malformed JSON responses after a scheduled maintenance window, causing downstream processing failures.
Which two investigative steps most directly isolate the root cause? (Select two.)

A) Compare the current system prompt and output schema configuration against the last known good version from before the maintenance window.
B) Replay a set of premaintenance requests against the current configuration and inspect the raw model output before downstream parsing.
C) Switch to a different Claude model tier to rule out provider-side changes as a contributing factor.
D) Clear the prompt cache and resubmit all pending requests to eliminate stale cached prefixes.
E) Increase the max_tokens limit to determine whether output truncation is causing incomplete JSON structures.

4. You are selecting a model for a new production workload and must complete the upstream steps before testing candidate models empirically.
Which two steps must be completed BEFORE running a representative sample on a candidate model? (Select two.) Each correct answer presents part of the solution.

A) Select the lightest model that consistently meets the quality bar across the sample.
B) Define the quality bar, latency tolerance, and expected volume for the workload.
C) Retest the model choice when a new model version becomes available.
D) Sign off the production rollout plan with the platform and security teams.
E) Choose a candidate model based on the requirements profile and known capabilities.

5. You are supporting an engineer whose Claude Code session reports a permission denial when the engineer expected the action to be allowed.
Which resolution step is most appropriate?

A) Inspect the active permission rules across all scopes-managed, command-line, local, project, and user-to identify which rule is denying the action and confirm whether it should be amended or remain denied.
B) Grant the engineer unrestricted Bash access to bypass the specific rule causing the denial, removing all tool-pattern constraints rather than amending only the rule in question.
C) Tell the engineer to retry the denied action verbatim repeatedly until the denial stops appearing, without inspecting the active permission rules to determine whether the denial is intentional.
D) Disable the permission system entirely across all scopes to remove the denial, eliminating all tool- pattern and deny-rule controls rather than identifying and amending the specific rule.

Solutions: