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Anthropic Claude Certified Architect - Professional Sample Questions:

1. You are identifying the highest-impact optimization for a deployment whose token cost is dominated by a long, repeated system prompt and a large retrieved context per request.
Which optimization most directly targets the dominant cost driver?

A) Switch every request to the heaviest available model to maximize output quality, accepting that higher per-request inference cost compounds rather than addresses the dominant cost driver.
B) Increase retrieval depth on every request to maximize recall, worsening the dominant cost driver by adding more retrieved tokens per request rather than reducing them.
C) Move the long, repeated system prompt into a cacheable prefix and trim retrieved context to the spans relevant to each query.
D) Add additional repeated content to the system prompt to give the model more guidance.

2. You are selecting a protocol for a single low-latency stateless tool call from a Claude-based assistant to an internal pricing service that already exposes a stable HTTP API.
Which integration mechanism is the most appropriate?

A) A bespoke streaming protocol layered over an unrelated asynchronous message bus.
B) A direct API call to the existing endpoint with the appropriate scoped credentials.
C) A long-lived stateful session protocol for a stateless single-call interaction.
D) An agent-to-agent handoff that introduces another Claude-based agent in front of the pricing service.

3. You are a solution architect evaluating candidate use cases for a Claude-based program.
For each scenario, select Yes if Claude is appropriate as the primary solution at the architectural level.
Otherwise, select No.

4. The platform team at Trenova Systems, Inc. needs to reduce per-query cost and p95 latency for a high-volume Claude pipeline without degrading output quality on the core use case.
Which two optimizations directly target both cost and latency simultaneously? (Select two.)

A) Expand the system prompt to include additional few-shot examples on every request.
B) Add a retrieval step that fetches the full source corpus into the context window before generation.
C) Increase max_tokens to reduce the frequency of truncated responses requiring follow-up calls.
D) Route straightforward query types to a smaller, faster Claude model and reserve the full model for complex cases.
E) Enable prompt caching on the static system-prompt prefix to reduce billable input tokens on repeated calls.

5. A platform team operates a self-hosted multi-agent system on Kubernetes that orchestrates seven specialized agents for invoice processing. The team spends approximately 40 percent of engineering capacity on infrastructure maintenance, message bus reliability, and agent state recovery. The CFO has asked you to evaluate moving to managed agent infrastructure to reclaim engineering capacity. The security officer requires that all customer financial data remain within an approved network boundary.
Which factor should most heavily influence your recommendation?

A) Whether managed agents reduce per-invoice token costs across the existing processing volume.
B) Whether managed agent data handling satisfies the network boundary required by security.
C) Whether managed agents support the current bus topology used by the platform team.
D) Whether the current seven agents map cleanly to the patterns supported by managed agents.

Solutions: