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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

1. A customer support team has proposed delegating customer refund decisions to a Claude-driven workflow with no human review for refunds under 50 USD. The team's reasoning is that small refunds are low-risk and human review would erase the efficiency gain.
Which Delegation-competency principle should guide your response?

A) Delegation should be avoided entirely wherever financial transactions occur in the workflow.
B) Delegation should always include human review on every decision the workflow produces.
C) Delegation scope should be set primarily by maximizing efficiency gains across the workflow.
D) Delegation scope should reflect the type of risk involved, not the transaction size alone.

2. 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) 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.
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) 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.

3. 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) Proposal A reduces context switching by providing AI assistance at the point of development without requiring a separate tool.
B) Both proposals are equivalent because the model capabilities are identical regardless of the integration point.
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.

4. You are defining escalation criteria for ambiguous cases in an automated workflow.
Which set of criteria best supports consistent escalation?

A) Escalation only after an affected customer has contacted support to complain, after the automated workflow has already completed without human review.
B) A confidence score below a defined threshold, presence of high-impact decision categories, ambiguity flags raised by content classifiers, and the user's explicit request for review.
C) No escalation criteria; the model decides independently on every turn whether to escalate, without explicit confidence thresholds, impact categories, or classifier-based ambiguity flags.
D) Escalation at the discretion of whoever is available when the team's on-call engineer has spare capacity, without a defined threshold, category, or ambiguity criterion.

5. A Claude-based research assistant begins producing responses that confidently contradict its retrieved source documents despite no change to the retrieval pipeline.
Which two diagnostic actions most directly identify the root cause of this behavior? (Select two.)

A) Determine whether the failure reproduces on the previous model version to test for a model mismatch.
B) Reduce the temperature setting to lower response variance across all query types.
C) Increase the context-window size to allow more retrieved chunks per query.
D) Switch the retrieval index to a denser embedding model to improve chunk-relevance scores.
E) Inspect the system-prompt grounding instructions to determine whether citation constraints remain intact.

Solutions: