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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

1. A Claude Architect is reviewing a post-deployment performance report for an AI-assisted legal-document summarization system. The report includes these observations:
* Average summarization time decreased from 47 minutes to 6 minutes per document.
* Associates spend less time on summaries, but overall billable output has not measurably changed.
* Infrastructure costs increased by 22% because redundant retry logic generated additional API calls.
* Some summaries require attorney correction, adding an average of 8 minutes of review per document.
Which analysis correctly attributes each observation to the appropriate business-value pillar?

A) Observation 1 is a transformation outcome; Observation 2 is an efficiency gain; Observation 3 is a performance-SLA degradation; Observation 4 is a solution-cost issue.
B) Observation 1 indicates an efficiency gain; Observation 2 shows that productivity has not yet been realized; Observation 3 is a solution-cost issue; Observation 4 is an efficiency loss that partially offsets Observation 1.
C) Observations 1 and 4 together indicate a net performance-SLA improvement; Observation 2 is a transformation gap; Observation 3 is a productivity drain from over-engineering.
D) Observations 1 and 2 both indicate efficiency gains; Observation 3 is a solution-cost issue; Observation
4 is a performance-SLA issue.

2. You are listing characteristics of robust guardrail design for an enterprise deployment.
Which two characteristics belong on the list? (Select two.)
Each correct answer presents a complete solution.

A) Centralized log retention for guardrail violations with quarterly review by the security team.
B) Adversarial-input coverage in the evaluation set with regression tracking on guardrail performance.
C) User feedback channels that route reported guardrail failures into the product backlog for triage.
D) Per-role tool allow-lists enforced at the orchestration layer before any tool call executes.
E) Periodic refresh of the system prompt wording to keep refusal language current and clear.

3. You are evaluating a Claude-based deployment for adherence to a specific regulation.
Which two steps must be completed BEFORE mapping deployment data flows to specific regulatory clauses?
(Select two.)
Each correct answer presents part of the solution.

A) Identify the applicability of the regulation based on data types, jurisdiction, and audience.
B) Inventory the vendor-provided compliance tooling and confirm which compliance affordances are in place.
C) Document the identified gaps along with recommended remediations and residual risk for sign-off.
D) Schedule the remediation work with the engineering team based on the prioritized gap findings.
E) Compare the in-place controls against the regulatory requirements to identify any compliance gaps.

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

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

Solutions: