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Anthropic Claude Certified Architect – Foundations Sample Questions:
1. You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools ( get_customer , lookup_order , process_refund , escalate_to_human ). Your target is 80%+ first-contact resolution while knowing when to escalate.
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) Explain the billing, confirm refund eligibility, acknowledge the system issue preventing immediate processing, and offer escalation or retry later.
C) Escalate immediately to a human agent since the refund action cannot be completed.
D) Implement automatic retries with exponential backoff for process_refund , keeping the conversation open until the refund is successfully processed.
2. You are building a customer support resolution agent using the Claude Agent SDK. The agent handles high- ambiguity requests like returns, billing disputes, and account issues. It has access to your backend systems through custom Model Context Protocol (MCP) tools ( get_customer , lookup_order , process_refund , escalate_to_human ). Your target is 80%+ first-contact resolution while knowing when to escalate.
The agent verifies customer identity through a multi-step process before resetting passwords. During testing, you notice that after the customer answers the third verification question, the agent asks them to provide their name again, as if the earlier exchange never happened.
What's the most likely cause of this behavior?
A) The prompt lacks instructions telling Claude to remember information across multiple exchanges.
B) The verification tool is clearing the agent's internal state after each successful validation step.
C) Claude's memory retention is limited to two conversational turns by default, requiring explicit configuration to extend it.
D) The conversation history isn't being passed in subsequent API requests.
3. You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
An engineer's exploration subagent spent 30 minutes analyzing a legacy payment system, reading 47 files and documenting data flows. The session was interrupted when the engineer's connection dropped. While away, a teammate merged a PR that renamed two utility functions. The engineer wants to continue the same exploration.
What's the most effective approach?
A) Resume the subagent from its previous transcript without mentioning the changes-the architecture understanding remains valid.
B) Launch a fresh subagent with a summary of prior findings.
C) Launch a fresh subagent and include the prior transcript in the initial prompt for context.
D) Resume the subagent from its previous transcript and inform it about the renamed functions.
4. 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 added to Claude Code's tool registry alongside the server's tools, invoked automatically by the model when relevant to the task.
B) They appear as slash commands (e.g., /mcp__servername__deploy_checklist ) that you can invoke, with arguments passed after the command name.
C) They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.
D) They are surfaced as @ -mentionable resources alongside files, fetched and attached to your message when referenced.
5. You are building developer productivity tools using the Claude Agent SDK. The agent helps engineers explore unfamiliar codebases, understand legacy systems, generate boilerplate code, and automate repetitive tasks. It uses the built-in tools (Read, Write, Bash, Grep, Glob) and integrates with Model Context Protocol (MCP) servers.
Your codebase exploration tool stores session IDs to allow engineers to continue investigations across work sessions. An engineer spent an hour yesterday analyzing a legacy authentication module, building context about its architecture and dependencies. They want to continue today. The session ID is valid, but version control shows 3 of the 12 files the agent previously read were modified overnight by a teammate's merge.
What approach best balances efficiency and accuracy?
A) Start a fresh session to ensure the agent works with current codebase state without stale assumptions
B) Resume the session and inform the agent which specific files changed for targeted re-analysis
C) Resume the session without informing the agent about the changed files
D) Resume the session and immediately have the agent re-read all 12 previously analyzed files
Solutions:
| Question # 1 Answer: B | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: B | Question # 5 Answer: B |
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