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

1. During the final synthesis phase, the system receives conflicting statistical data from two different subagents: one derived from a verified financial database, and another extracted from an outdated PDF. How should the synthesis agent handle this conflict?

A) Halt the synthesis process and prompt the user to manually select the correct statistical value.
B) Arbitrarily select the value from the financial database since structured databases are inherently more accurate.
C) Track information provenance by preserving both values, their sources, confidence levels, and timestamps, allowing informed resolution.
D) Average the two conflicting values together to provide a balanced estimate in the final report.

2. Why is it considered an architectural anti-pattern to configure the exact same Claude session to review its newly generated code?

A) The Message Batches API does not support synchronous self-review workflows.
B) It exceeds the maximum token limit of the context window during the generation phase.
C) Tools invoked during the first pass are permanently locked and cannot be reused in the review pass.
D) The reviewer retains the reasoning context and assumptions from the generation phase, creating confirmation bias.

3. During a highly complex, multi-phase refactoring task, the context window risks becoming exhausted by verbose discovery output before any code is modified. What built-in mechanism is designed to mitigate this during the planning phase?

A) The Explore subagent, which isolates verbose discovery output and returns summarized findings to the main conversation.
B) The /compact command run automatically inside a PreToolUse hook.
C) The Message Batches API.
D) The --json-schema CLI flag, which forces discovery output to be heavily compressed.

4. When using the Claude API, how must a system prompt be formatted to successfully utilize prompt caching?

A) Use the Message Batches API to ensure the system prompt is automatically cached across all batched requests.
B) Structure the system prompt as a dictionary with a text block and include a cache_control field set to {"type": " ephemeral " }
C) Provide the system prompt as a standard string and set prompt_caching: true at the top level of the API request.
D) Include the system prompt inside an XML block labeled .

5. Which of the following statements correctly describe best practices for few-shot prompting? Choose 2 correct answers.

A) Few-shot examples are highly effective for demonstrating ambiguous-case handling.
B) Few-shot examples should be avoided when extracting data from documents with highly varied structures.
C) Every few-shot example provided should use a completely different output format to show flexibility.
D) The examples provided should maintain identical formatting to establish a clear pattern for the model to follow.

Solutions: