Anthropic CCAR-F : Claude Certified Architect – Foundations

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Anthropic Claude Certified Architect – Foundations Sample Questions:

1. 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 appear as slash commands (e.g., /mcp__servername__deploy_checklist ) that you can invoke, with arguments passed after the command name.
D) They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.

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.
A customer contacts the agent about a warranty claim on a power drill. Resolving this requires multiple sequential tool calls: get_customer to look up their account, lookup_order to find the purchase details, and then either process_refund or escalate_to_human depending on warranty eligibility. You're implementing the agentic loop that orchestrates these steps using the Claude API.
What is the primary mechanism your application uses to determine whether to continue the loop or stop?

A) You check whether Claude's response contains a text content block-if text is present, the agent has produced its final answer and the loop should exit.
B) You track the number of tool calls made and exit the loop once a preconfigured maximum is reached.
C) You manually set the tool_choice parameter to "none" after the final expected tool call to force Claude to stop requesting tools.
D) You check the stop_reason field in each API response-the loop continues while it equals "tool_use" and exits when it changes to "end_turn" or another terminal value.

3. 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.
You've asked Claude to write a data migration script, but the initial output doesn't correctly handle records with null values in required fields.
What's the most effective way to iterate toward a working solution?

A) Provide a test case with example input containing null values and the expected output, then ask Claude to fix it.
B) Add "think harder about edge cases" to your prompt and request a complete rewrite of the migration logic.
C) Describe the null value problem in detail and ask Claude to regenerate the entire script with improved edge case handling.
D) Manually edit the generated code to fix the null handling, then continue working with Claude on other parts.

4. 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 and include the prior transcript in the initial prompt for context.
C) Resume the subagent from its previous transcript and inform it about the renamed functions.
D) Launch a fresh subagent with a summary of prior findings.

5. 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.
Your process_refund tool returns two types of errors: technical errors ("503 Service Unavailable",
"Connection timeout") that are transient (~5% of calls), and business errors ("Order exceeds 30-day return window", "Item already refunded") that are permanent (~12% of calls). Monitoring shows the agent wastes 3-
4 turns retrying business errors that can never succeed. Currently, both error types return only a plain text message to Claude.
What's the most effective way to reduce wasted retries while improving customer-facing response quality?

A) Return structured error responses with "retriable": false for business errors and a customer-friendly explanation for Claude to use.
B) Add few-shot examples showing how to distinguish retriable from non-retriable errors by parsing error message text.
C) Add a check_refund_eligibility tool that must be called before process_refund to prevent business rule violations.
D) Implement automatic retry logic at the tool layer for technical errors only, passing business errors to Claude without retries.

Solutions: