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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

Question 1

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. Increase the max_tokens limit to determine whether output truncation is causing incomplete JSON structures.
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. Replay a set of premaintenance requests against the current configuration and inspect the raw model output before downstream parsing.

Question 2

During an architectural review, the security team identifies a risk that adversarial content injected into retrieved documents could manipulate the model's behavior.
Which mitigation most directly addresses this threat?

A. Score outputs against a stable adversarial evaluation set on each model-version change.
B. Restrict outbound tool calls to an approved destination allow-list.
C. Treat all retrieved content as untrusted input and apply input classifiers with output validation.
D. Require citations for each claim and constrain responses to source-supported content.

Question 3

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. 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.
B. 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.
C. 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.
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.

Question 4

You are integrating Claude Code into the team's pull-request workflow. The team wants AI-assisted review without removing human approval.
Which integration design best fits this requirement?

A. Claude Code reviews the pull request and posts a structured analysis as a comment, while a human reviewer retains the approval decision under the existing branch-protection rules.
B. Claude Code disables all existing branch-protection rules to streamline the merge process, removing human approval as a required gate.
C. Claude Code merges every pull request automatically after completing its analysis, bypassing human approval and the existing branch-protection rules.
D. Claude Code silently deletes pull requests it assesses as low quality without posting a comment or notifying the author.

Question 5

You are defining transparency practices for a customer-facing assistant whose responses are materially shaped by AI.
Which transparency practice most directly supports responsible deployment?

A. Misrepresent the AI's role in producing responses in order to make the assistant feel more trustworthy or more human, undermining informed user consent and organizational transparency.
B. Refuse to answer any user question about how the responses were produced or whether AI was involved, treating the AI's role as confidential operational information.
C. Disclose AI involvement to end users in line with the organization's transparency policy and provide a documented path to reach a human when needed.
D. Disclose AI involvement only to internal staff and operators while withholding that information from the end users whose interactions are materially shaped by the AI system.

Solutions: