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

1. When processing a batch of 10,000 documents via the Message Batches API, 45 requests fail due to context window limits. What is the recommended failure handling strategy?

A) Resubmit the entire batch of 10,000 requests to guarantee correct ordering.
B) Resubmit only the failed documents (identified by their custom_id) after modifying them, such as chunking oversized documents.
C) Switch immediately to the synchronous API to retry the failed documents.
D) Ignore the failures, as the API inherently guarantees a 99% success SLA.

2. What is a primary architectural limitation of using a fixed prompt chaining pipeline for a complex debugging task?

A) It inherently exceeds the maximum token limit of the context window faster than single prompts.
B) It cannot dynamically adapt its approach if an intermediate analysis step reveals an unexpected root cause.
C) It forces the agent to use tool_choice: any, bypassing deterministic programmatic hooks.
D) It requires the use of the Message Batches API, adding a 24-hour latency to the execution.

3. You are building a classifier to categorize customer reviews, but the model struggles with ambiguous scenarios like sarcasm and mixed sentiments. You decide to use few-shot prompting. What is the recommended best practice for this scenario?

A) Provide 2 to 4 examples, ensuring that at least one example specifically addresses an ambiguous edge case like sarcasm.
B) Provide 8 to 10 examples to ensure every possible sentiment category is covered comprehensively.
C) Avoid few-shot prompting and instead use a detailed system prompt explaining the exact definition of sarcasm.
D) Provide exactly 1 example of a standard positive review to establish the JSON format.

4. When applying few-shot prompting to improve extraction quality for ambiguous scenarios, what is the optimal number of examples to provide?

A) 1 example to establish the JSON format.
B) 15 or more examples to thoroughly fine-tune the model's reasoning.
C) 8 to 10 examples to cover all possible variations.
D) 2 to 4 examples, covering standard and edge cases.

5. To allow a coordinator agent to spawn specialized subagents in a multi-agent orchestration setup, which specific configuration must be applied to the coordinator?

A) Configure a PreToolUse hook to automatically manage the spawning process.
B) Set the tool_choice parameter to auto for the coordinator agent.
C) The coordinator's allowedTools array must explicitly include the Task tool.
D) The subagent must be initialized with an inherit_context: true flag.

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