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Anthropic CCAR-P Exam Syllabus Topics:

Anthropic Claude Certified Architect - Professional Sample Questions:

1. You are selecting a pattern for a compliance Q & A assistant that must answer policy questions with citations to the authoritative internal source set. Latency, cost, and audit predictability are prioritized.
Which pattern is the best fit?

A) Augmented LLM with retrieval-augmented generation over the indexed authoritative corpus and citation rendering on each answer.
B) A pure agent loop with open web-browsing tools to surface the most current policy information, without constraining retrieval to the authoritative internal corpus.
C) A static prompt with the entire policy corpus concatenated into every request.
D) Multi-agent orchestration with a planner, researcher, and writer agent for every query.

2. You are integrating human review into a high-volume classification pipeline where reviewing every output is infeasible.
Which sampling strategy best balances throughput with quality oversight?

A) No sampling, relying entirely on user complaints to reveal quality and safety problems after they affect users.
B) Inverse sampling that reviews only high-confidence routine outputs and skips low-confidence and high- impact outputs.
C) Risk-stratified sampling that reviews all low-confidence and high-impact outputs and a smaller random sample of high-confidence routine outputs.
D) Universal review of every output regardless of confidence or throughput impact.

3. A business sponsor has requested an AI solution to "improve customer experience." The sponsor cannot articulate which customer journey is failing, which metric reflects the failure, or which decisions the AI should support. The sponsor is asking you to begin design work next week.
Which delegation-competency action should you take first?

A) Propose a fixed scope that you commit to by default based on your own assumptions.
B) Begin prototyping a generic assistant against the broad request before the next deadline.
C) Recommend that the sponsor revise the request and resubmit it later for evaluation.
D) Facilitate a structured discovery to define the failing decision and the target metric.

4. You are a solution architect designing a Claude-based assistant with access to 60 internal tools across multiple business domains. Loading every tool definition on every request increases token usage and time to first response.
Which design pattern best addresses this issue without sacrificing capability breadth?

A) Use a separate model call to summarize all 60 tool definitions before each user turn.
B) Increase the maximum context length and load all 60 tool definitions on every request, accepting the higher token cost and latency as necessary for full capability.
C) Hard-code a fixed set of five tools per request to reduce token usage, regardless of whether those tools are relevant to the current task.
D) Apply progressive tool discovery so a curated initial subset is exposed and additional tools are loaded on demand based on the task.

5. A document analysis service processes legal filings averaging 80,000 tokens each. Each filing is queried by attorneys an average of 14 times during a case. The current architecture sends the full filing on every query.
The CFO has asked you to reduce per-query costs while preserving response quality. The security officer requires that filing contents not be stored outside Fabrikam's tenancy.
Which optimization approach should you recommend?

A) Cache the filing as the prompt prefix for reuse across the 14 queries per case.
B) Move the workload to a smaller Claude model to reduce the per-token cost paid.
C) Summarize each filing once at intake and run all subsequent queries against the summary.
D) Index filings in a vector store and retrieve only the relevant passages per query.

Solutions: