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Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:

1. In a multi-agent system, a subagent times out querying a database. How should this error be propagated back to the coordinator agent?

A) Propagate the exception directly to a top-level handler to terminate the entire workflow.
B) Return structured error context including the failure type, what was attempted, and partial results.
C) Return a generic string {"error": "Operation failed"}.
D) Catch the timeout and return an empty result set marked as successful to keep the workflow moving.

2. An MCP tool processes financial refunds. A policy violation occurs because the requested amount exceeds the user's maximum allowed limit. What is the most architecturally sound way the tool should respond?

A) Return a generic "Operation failed" string to avoid leaking internal policy limits.
B) Return structured error metadata with isError: true, a human-readable context description of the policy violation, and isRetryable: false.
C) Return an empty response payload so the agent can seamlessly try a different tool.
D) Throw a fatal system exception to halt execution.

3. In Model Context Protocol architecture, what is the primary distinction between an MCP Tool and an MCP Resource?

A) Resources expose static or templated data that clients can fetch to inject into prompts, whereas Tools are executable functions that perform actions.
B) Resources provide pre-built conversation templates, whereas Tools provide context history.
C) Resources are hosted locally via stdio, whereas Tools are hosted remotely via HTTP.
D) Resources execute functions that perform backend mutations, whereas Tools expose data catalogs.

4. A data extraction pipeline uses few-shot examples to teach Claude how to extract invoice line items. To ensure the model handles unexpected formats reliably, what must be included in the few-shot examples?

A) At least one example that demonstrates how to handle an ambiguous scenario or edge case.
B) A negative example showing the model generating conversational text instead of JSON.
C) Extensive XML tags defining the model's underlying neural architecture.
D) Only examples of perfectly formatted, standard invoices to establish a strong baseline.

5. Which of the following scenarios are best suited for prompt chaining (fixed sequential pipelines) rather than dynamic adaptive decomposition? Choose 2 correct answers.

A) A predictable, multi-aspect security review where the sequence of code analysis steps is static and predefined.
B) An open-ended investigation into an undocumented legacy API where responses guide the next queries.
C) A data processing pipeline where raw text is summarized, then translated, and finally formatted into JSON.
D) A monolith-to-microservices architectural migration involving dozens of interacting dependencies.

Solutions: