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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.
You're tasked with adding real-time updates to the application. This could be implemented using WebSockets, Server-Sent Events, or polling, each with different complexity, browser support, and infrastructure requirements.
What's the most effective way to begin this task?

A) Use direct execution to implement polling first, then evaluate whether to upgrade to WebSockets later.
B) Use direct execution with a prompt asking Claude to analyze all approaches and implement the one it determines is best.
C) Enter plan mode to explore the architecture, evaluate trade-offs, and present options for team approval before implementing.
D) Start direct execution with WebSockets, then refactor if infrastructure issues arise.

2. 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.
A security audit requires updating your authentication library from v2 to v3. The migration guide documents breaking changes: authenticate() now returns a Promise instead of accepting a callback, the User type has restructured fields, and three deprecated methods were removed. Grep shows the library is imported in 45 files across several modules.
What's the most effective approach?

A) Update the dependency version, run the test suite, and use Claude Code to fix each failure as it appears.
B) Enter plan mode to explore library usage across modules, map affected code paths, then create a migration strategy before implementing.
C) Create a custom slash command encapsulating the migration transformations, then execute it against each file without prior codebase exploration.
D) Paste the migration guide's breaking changes into your prompt and use direct execution to update all usages across the 45 files.

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.
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 are surfaced as @ -mentionable resources alongside files, fetched and attached to your message when referenced.
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.

4. You are building a structured data extraction system using Claude. The system extracts information from unstructured documents, validates the output using JavaScript Object Notation (JSON) schemas, and maintains high accuracy. It must handle edge cases gracefully and integrate with downstream systems.
Your system has been operating with 100% human review for 3 months. Analysis shows that extractions with model confidence #90% have 97% accuracy overall. To reduce reviewer workload, you plan to automate high- confidence extractions.
Before deploying, what validation step is most critical?

A) Verify that 97% accuracy meets requirements for all downstream systems that consume the extracted data.
B) Run a two-week pilot routing 25% of high-confidence extractions directly to downstream systems and monitor error reports.
C) Compare accuracy at different confidence thresholds (85%, 90%, 95%) to find the optimal cutoff that maximizes automation while minimizing errors.
D) Analyze accuracy by document type and field to verify high-confidence extractions perform consistently across all segments, not just in aggregate.

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.
During testing, you find that when a customer says "I need a refund for my recent purchase," the agent calls process_refund immediately-but populates the required order_id parameter with a plausible-looking but fabricated value instead of first calling lookup_order to retrieve the actual order ID. The refund call fails because the fabricated ID doesn't exist.
Which change directly addresses the root cause of the agent fabricating the order_id value?

A) Add server-side validation that checks whether the order_id exists in your database before executing the refund, returning an error to the agent if not found.
B) Pre-parse incoming customer messages to extract any order IDs mentioned, and inject them into the conversation context before passing to Claude.
C) Switch tool_choice from "auto" to "any" to force the agent to make a tool call on every turn.
D) Update the process_refund tool description to explicitly state that order_id must be obtained from a prior lookup_order call and must never be assumed or invented.

Solutions: