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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

1. A healthcare organization is evaluating two Claude-powered AI architectures for a clinical documentation assistant. Architecture X produces higher output quality scores but costs $0.18 per documentation session and averages 4.2 seconds per response. Architecture Y scores slightly lower on quality metrics but costs $0.09 per session and averages 2.1 seconds per response. The stated SLA requires responses under 3 seconds, and the annual volume is projected at 2 million documentation sessions.
Which evaluation approach correctly applies business value pillar analysis to this decision?

A) Eliminate Architecture X on SLA grounds, then evaluate Architecture Y against the efficiency and solution cost pillars by calculating annual cost difference and assessing whether the quality delta materially impacts clinical workflow productivity.
B) Select Architecture Y based solely on the 50% cost reduction, since solution cost is the most important value pillar in healthcare budget-constrained environments.
C) Recommend a hybrid approach using Architecture X for complex cases and Architecture Y for routine cases, without additional analysis, since this preserves quality where it matters most.
D) Select Architecture X because the higher quality scores justify the cost premium, and any SLA gap can be addressed through infrastructure optimization after deployment.

2. A security team is evaluating two proposed controls. Control A adds an outbound tool allow-list with destination restrictions and per-call review. Control B scores responses against a stable adversarial evaluation set after each model-version change.
Which two risk categories are correctly matched to these controls? (Select two.)

A) Control A - data exfiltration via outbound tool calls
B) Control B - silent quality drift after a model-version upgrade
C) Control B - data exfiltration via outbound tool calls
D) Control A - prompt injection from adversarial content in retrieved data
E) Control A - silent quality drift after a model-version upgrade

3. You are diagnosing a Claude Code session whose subagent uses 50,000 tokens of context before the engineer types a single message.
Which root cause is most likely?

A) The developer's keyboard layout or input-method configuration is the cause of the elevated context consumption, introducing extra tokens before the engineer types any message.
B) The model has internal personal preferences or default behaviors that silently consume large portions of context budget before any user message is processed, independent of tool configuration.
C) The font rendering or display-scaling settings of the IDE are converting visual output into additional context tokens, causing the high pre-session context consumption.
D) Many MCP servers are configured, each contributing tool definitions to the context budget; Tool Search is not enabled, so all definitions load upfront.

4. An engineering organization is adopting Claude Code across 200 developers. A team lead proposes that AI- generated pull requests bypass standard code review for changes under 50 lines because small changes are considered low risk and review capacity is constrained.
Which two Diligence-competency objections should you raise? (Select two.) Each correct answer presents part of the solution.

A) Code-review capacity should be expanded to handle every code change submitted across the team.
B) Removing review eliminates the verification mechanism required for AI-generated output across the workflow.
C) AI-generated pull requests should be rejected by default across the organization.
D) Line count is a poor proxy for the actual risk introduced by a code change.
E) The threshold should be increased to 200 lines to capture more changes.

5. You are responding to an adversarial input pattern in which users include text claiming admin authority and instructing the model to bypass safety restrictions.
Which combination of controls most effectively mitigates this attack pattern?

A) Granting users any privilege level they assert in their message content, on the assumption that cooperative behavior requires honoring self-declared authority without independent verification.
B) Prompt-level instructions that treat user content as untrusted data, runtime classifiers that detect override attempts, scoped tool permissions that cannot be elevated by user content, and audit logging of attempts.
C) Removing all safety restrictions and guardrails to eliminate the attack surface that bypass attempts target, accepting that this makes the assistant unrestricted for all inputs.
D) Trusting that the model will intrinsically recognize and reject all bypass attempts without prompt-level instructions, runtime classifiers, scoped permissions, or audit logging.

Solutions: