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Anthropic CCAR-F Exam Syllabus Topics:

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 implementing a caching layer for API responses to speed up the /products endpoint. You have a rough idea-Redis with a 5-minute TTL-but you're new to production caching and aren't sure what other considerations a robust implementation requires.
What's the most effective way to start your iterative workflow?

A) Write a specification with your known requirements and "TBD" markers for uncertain areas, having Claude propose solutions for each TBD as it implements.
B) Use plan mode to analyze the current /products endpoint implementation, then provide your caching requirements once Claude explains how the existing code is structured.
C) Start with a minimal request: "Add Redis caching to /products with 5-minute TTL." Add features and fix issues through follow-up prompts as problems surface during testing.
D) Ask Claude to interview you about the caching requirements before implementing, surfacing considerations like invalidation strategies, cache layers, consistency guarantees, and failure modes.

2. 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, and Glob-and integrates with Model Context Protocol (MCP) servers.
You are building a security-scanning workflow.
When engineers need to locate every occurrence of a dangerous function such as eval() across a large codebase, which tool should the agent use for content searching?

A) Use Bash to run ls -R | grep eval and search the recursively listed filenames.
B) Use Grep to search for the regular-expression pattern eval\( across all files in the codebase.
C) Use Glob with a pattern such as **/eval* to locate files, and then read each matching file.
D) Read the project's main entry file and follow import statements to trace where eval() might be used.

3. Your automated review CI jobs take 18 seconds to initialize before Claude begins analyzing code. Profiling reveals that the delay comes from automatically discovering hooks, MCP servers, plugins, skills, and multiple nested CLAUDE.md files throughout your monorepo. You need to reduce startup time while ensuring that reviews still enforce your team's coding standards, which are documented in the root-level CLAUDE.md file.
What is the most effective approach?

A) Run in --bare mode and pass --append-system-prompt-file ./CLAUDE.md to explicitly load your project standards while skipping all automatic discovery.
B) Run in --bare mode and specify all review criteria directly in the -p prompt argument for every CI invocation, without referencing external files.
C) Keep the default initialization and add --exclude-dynamic-system-prompt-sections to reduce per- machine prompt variability and improve prompt-cache hit rates across runners.
D) Replace the default prompt entirely by using --system-prompt-file ./CLAUDE.md, which bypasses default prompt assembly and loads only your project rules.

4. The document-analysis agent has a single analyze_document tool that accepts a document and a free-text instruction parameter. During evaluation, requests such as "extract the key financial metrics" often return narrative summaries, while "summarize the methodology" sometimes returns raw data tables. The synthesis agent reports that 35% of analysis results require new requests with clarified instructions. What is the most effective way to improve reliability?

A) Have the coordinator preclassify each analysis request before passing instructions to the document- analysis agent.
B) Retain the single tool but add an analysis_type enum requiring explicit selection among extraction, summarization, and verification modes.
C) Enhance the tool description with detailed examples showing how different instruction phrasings should map to different output formats.
D) Split the generic tool into purpose-specific tools-extract_data_points, summarize_content, and verify_claim_against_source-each with defined input and output contracts.

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, and Glob-and integrates with Model Context Protocol (MCP) servers.
An engineer asks the agent to find every file in a monorepo that imports the @company/auth package to understand how authentication is used across services.
Which built-in tool is most appropriate for this task?

A) Glob, to find files containing auth in their filename or path.
B) Grep, to search file contents for the import-statement pattern.
C) Bash, to execute find . -type d -name " *auth* " and explore matching directories.
D) Read, beginning with package.json files to trace dependency declarations.

Solutions: