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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Context Management & Reliability | 15% | - Long-context optimization
|
| Topic 2: Prompt Engineering & Structured Output | 20% | - Reliable structured generation
|
| Topic 3: Claude Code Workflows & Configuration | 20% | - Claude Code operational patterns
|
| Topic 4: Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
| Topic 5: Agentic Architecture & Orchestration | 27% | - System orchestration patterns
|
Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:
An engineering team notices that Claude occasionally provides answers beyond the company's internal policy documents. They want responses to rely only on approved documentation whenever possible. Which solution is MOST appropriate?
- A. Disable system prompts
- B. Use Retrieval-Augmented Generation (RAG)
- C. Shorten every prompt
- D. Increase temperature to 1.0
Correct Answer: B 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
You're implementing the escalation logic for when the agent should call escalate_to_human. Your team proposes four different approaches for triggering escalation. Which approach will most reliably identify cases that genuinely require human intervention?
- A. Configure the agent to escalate after three consecutive tool calls that fail to resolve the customer's stated issue, ensuring a reasonable attempt before involving a human.
- B. Build a rules engine that maps specific issue types, customer segments, and product categories to escalation decisions, removing the need for model judgment calls.
- C. Implement sentiment analysis that monitors for frustration indicators (negative language, repeated questions, exclamation marks) and trigger escalation when the frustration score exceeds a configured threshold.
- D. Instruct the agent to escalate when the customer requests a human, when the issue requires policy exceptions, or when the agent cannot make meaningful progress.
Correct Answer: D 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
During a billing dispute resolution, your agent successfully retrieves customer info via get_customer and order details via lookup_order, but when attempting to call process_refund, the tool returns a timeout error. The agent has enough information to explain the charges and verify refund eligibility, but cannot actually process the refund due to the backend failure. What approach best balances first-contact resolution with appropriate error handling?
- A. Confirm the refund will be processed and close the conversation, since the system has all necessary information to complete it automatically
- B. Implement automatic retries with exponential backoff for process_refund, keeping the conversation open until the refund is successfully processed
- C. Explain the billing confirm refund eligibility, acknowledge the system issue preventing immediate processing, and offer escalation or retry later
- D. Escalate immediately to a human agent since the refund action cannot be completed
Correct Answer: C 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
A legal department requires Claude to answer only when sufficient evidence exists in retrieved documents. What should Claude do if evidence is insufficient?
- A. Search social media automatically.
- B. Increase creativity.
- C. Clearly indicate insufficient information.
- D. Invent a likely answer.
Correct Answer: C 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
Your team has connected a custom MCP server that provides DevOps workflow templates. The server exposes several MCP prompts (such as deploy_checklist and incident_response) in addition to tools. How do these MCP prompts become accessible within Claude Code?
- A. They are surfaced as @-mentionable resources alongside files, fetched and attached to your message when referenced.
- B. They are added to Claude Code's tool registry alongside the server's tools, invoked automatically by the model when relevant to the task.
- C. They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.
- D. They appear as slash commands (e.g., mcp_servername_deploy_checklist) that you can invoke, with arguments passed after the command name.
Correct Answer: D 🗳️
Explanation: Only visible for TestValid members. You can sign-up / login (it's free).






