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

1. After executing a requested tool in an agentic loop, how must the application handle the follow-up request to ensure the model can accurately reason about the next action?

A) Append a user message containing a tool_result block with the matching tool_use_ld, and include the full prior conversation history.
B) Use the /compact command to summarize the tool output before returning it to the loop.
C) Pass the tool result inside an assistant message equipped with an is_error flag.
D) Pass only the new tool result to save token space in the context window.

2. Which of the following scenarios represent architecturally appropriate use cases for implementing hooks in a production Claude application? Choose 2 correct answers.

A) Normalizing tool outputs, such as date formats or status codes, before they are appended to the context window.
B) Guaranteeing that an extracted JSON object has no semantic reasoning errors.
C) Intercepting tool calls to deterministically block policy-violating actions before they execute.
D) Ensuring Claude maintains a conversational and friendly tone with customers.

3. When generating complex mock data setups for integration tests, natural language descriptions often produce inconsistent structural results from Claude. What is the most effective technique to fix this?

A) Ask Claude to evaluate its own test generation output before returning it.
B) Increase the max_tokens parameter to give the model more space to reason.
C) Use the /compact command before requesting the test generation.
D) Provide 2-3 concrete input/output examples demonstrating the exact expected transformation.

4. When configuring a JSON extraction schema for document categorization where new or unexpected document types might appear, what is the recommended design pattern?

A) Include an other enum value paired with a document_type_detail string field for extensible categorization.
B) Use an open-ended string field with no constraints to maximize flexibility.
C) Use a rigid Enum containing only the currently known document types.
D) Use a PreToolUse hook to intercept and reject unknown document types.

5. When implementing multi-turn conversations with tool usage in the Claude API, how must the application handle the follow-up request after executing a tool?

A) Send only the new tool result to save token context space in the context window.
B) Pass the tool result inside an assistant message with an is_error flag.
C) Append a user message containing a tool_result block with the matching tool_use_id, and include the full prior conversation history.
D) Use the /compact command to summarize the tool output before returning it.

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