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Anthropic Claude Certified Architect – Foundations Sample Questions:

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

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

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.
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) Resume the session and inform the agent which specific files changed for targeted re-analysis
B) Start a fresh session to ensure the agent works with current codebase state without stale assumptions
C) Resume the session and immediately have the agent re-read all 12 previously analyzed files
D) Resume the session without informing the agent about the changed files

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

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.
An engineer asks your agent to add comprehensive tests to a legacy codebase with 200 files and minimal existing test coverage. The engineer hasn't specified which modules to prioritize.
How should the agent decompose this open-ended task?

A) Create a fixed testing schedule upfront based on directory structure, allocating equal effort to each top- level directory regardless of code complexity or business importance.
B) Systematically read all 200 files to create a complete function inventory before writing any tests, ensuring the testing plan accounts for every function before beginning.
C) Start writing tests for the first module alphabetically, using test failures and imports to discover related files organically.
D) Use Glob and Grep to map codebase structure, identify heavily-coupled modules, create a prioritized plan for high-impact areas, and revise as dependencies are discovered.

Solutions: