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

2. Your CI pipeline must consume Claude's code review feedback programmatically to post inline comments on a GitHub pull request. How should you enforce the exact structural shape of the output?

A) Provide at least 10 few-shot examples of valid JSON structures in the system prompt.
B) Inject a PostToolUse hook that formats the text output into a JSON object.
C) Add - -output-format json and supply the required structure via the --json-schema CLI flag.
D) Use regex to parse the unstructured markdown text output returned by Claude.

3. When designing a human review workflow with limited reviewer capacity, which of the following items should be prioritized for human review? (Choose 2 correct answers)

A) Extractions where the model reports low field-level confidence.
B) Documents where the tool_choice was set to "auto".
C) Randomly selected extractions from documents categorized as having 99% historical accuracy.
D) Extractions involving ambiguous or contradictory source documents.

4. Which of the following is considered a valid, architecturally sound trigger for escalating an autonomous agent session to a human agent?

A) The model's self-reported conversational confidence score drops below 0.6.
B) A policy gap is detected that is not covered by existing knowledge base rules.
C) The conversation length exceeds 5 turns.
D) The customer's text exhibits highly negative sentiment.

5. During a multi-agent synthesis phase, the coordinator receives conflicting financial statistics from a web search subagent and a document analysis subagent. What is the required architectural pattern for handling this conflict?

A) Average the two conflicting values together to provide a balanced estimate.
B) Arbitrarily select the value from the document subagent, as internal documents are generally more reliable.
C) Maintain structured claim-source mappings to preserve information provenance (source, confidence, timestamp) allowing for an informed resolution.
D) Discard both values and prompt the user to manually input the correct statistic.

Solutions: