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

1. A developer needs to perform a monolith-to-microservices migration spanning 45+ files. Why is Plan Mode recommended over Direct Execution for this task?

A) It uses the Message Batches API to reduce token costs by 50 percent during execution.
B) It automatically forks the session into a persistent subagent.
C) It bypasses the token limit context window by executing across multiple continuous sessions automatically.
D) It enables safe codebase exploration and design to determine architectural approaches before making costly file modifications.

2. Which of the following is an explicit limitation of using the Message Batches API?

A) It cannot process explicit JSON schemas for structured output.
B) It does not support multi-turn tool calling within a single request.
C) It requires a dedicated local MCP server to execute.
D) It severely restricts the maximum context window capacity.

3. Your agent achieves a low first-contact resolution rate because it attempts to autonomously handle complex policy exceptions, while simultaneously escalating straightforward tasks. What is the most effective approach to improve this escalation calibration?

A) Deploy a separate classifier model to predict which requests need escalation before the main agent begins.
B) Require the agent to self-report a confidence score (1-10) and route to humans when confidence falls below 7.
C) Add explicit escalation criteria to the system prompt with few-shot examples demonstrating when to escalate versus resolve autonomously.
D) Implement sentiment analysis to detect frustration levels and automatically escalate when they are high.

4. You need Claude to output raw JSON directly to the user interface of your application, without any conversational preamble or markdown formatting. Which prompt engineering technique achieves this?

A) Provide a 10-shot example list of raw JSON outputs.
B) Add "DO NOT USE MARKDOWN" to the end of the user prompt.
C) Set max_tokens to exactly match the length of the JSON string.
D) Combine Assistant Message Prefilling ```json with and use ```as a stop sequence.

5. When writing tool descriptions to ensure reliable LLM tool selection, which elements are strictly essential to include beyond a basic statement of purpose?

A) Input format specifications, example queries, edge cases, and explicit boundary conditions versus similar tools.
B) At least 15 few-shot examples demonstrating the JSON syntax required to invoke the tool.
C) The specific token cost of the tool execution to optimize context window budgeting.
D) The internal backend infrastructure routing logic and database schema definitions.

Solutions: