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Anthropic CCAR-F Exam Syllabus Topics:

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 pipeline uses a tool called extract_metadata with a JSON schema for paper details. You've also defined lookup_citations and verify_doi tools for enrichment. During testing, you notice that when users include requests like "extract the metadata and tell me how cited it is," Claude sometimes calls lookup_citations first, which fails because it needs the DOI that extract_metadata would provide.
What's the most effective way to ensure structured metadata extraction happens first?

A) Set tool_choice to " auto " and reorder the tool definitions so extract_metadata appears first in the tools array, since Claude prioritizes earlier-listed tools.
B) Set tool_choice to " any " so Claude must use a tool, combined with system prompt instructions prioritizing extract_metadata .
C) Set tool_choice to { " type " : " tool " , " name " : " extract_metadata " } and process the enrichment requests in subsequent turns after receiving the extracted metadata.
D) Set tool_choice to { " type " : " tool " , " name " : " extract_metadata " } for every API call in the pipeline, ensuring Claude always extracts metadata before any enrichment can occur.

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, Glob) and integrates with Model Context Protocol (MCP) servers.
You've configured your Claude agent with three MCP servers: one for git operations, one for Jira ticket management, and one for documentation search.
When a user asks the agent to "create a branch for JIRA-123 and add documentation links to the ticket," how does the agent access tools across these servers?

A) The agent queries each server sequentially to determine which handles each tool, routing calls based on tool name prefixes.
B) You must specify which MCP server to use for each turn, and the agent can only access one server's tools at a time.
C) The agent automatically selects the most relevant server based on the request and loads only that server' s tools.
D) Tools from all configured MCP servers are discovered at connection time and available simultaneously to the agent.

3. You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline.
The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
Your automated review calls the Claude API for each pull request, using tool_use with a report_findings tool that returns a JSON array of finding objects. Each object contains file_path, line_number, severity, category, and description. During testing on a large pull request touching more than 30 files, the response reaches the max_tokens limit and is truncated in the middle of the JSON, causing your pipeline's parser to fail.
What is the most effective way to handle this?

A) Increase max_tokens to the model's maximum and instruct Claude to keep each finding description under 50 words.
B) Add retry logic that detects truncated JSON and resends the request with instructions to report only critical and high-severity findings.
C) Switch from tool_use to prompting Claude to return findings as a Markdown list.
D) Split the review into multiple API calls that each analyze a subset of the changed files, and then merge the resulting findings arrays.

4. You are integrating Claude Code into your Continuous Integration/Continuous Deployment (CI/CD) pipeline.
The system runs automated code reviews, generates test cases, and provides feedback on pull requests. You need to design prompts that provide actionable feedback and minimize false positives.
Your automated review jobs take 18 seconds to initialize before Claude begins analyzing code. Profiling reveals that the delay results from automatically discovering hooks, MCP servers, plugins, skills, and multiple nested CLAUDE.md files throughout the monorepo.
You need to reduce startup time while ensuring reviews still enforce the coding standards documented in the root-level CLAUDE.md file.
What is the most effective approach?

A) Run in --bare mode and repeat all review criteria directly in the -p prompt for every invocation.
B) Replace the default prompt using --system-prompt-file ./CLAUDE.md, which bypasses default prompt assembly and loads only the project rules.
C) Run in --bare mode and pass --append-system-prompt-file ./CLAUDE.md to load the required project standards explicitly while skipping automatic discovery.
D) Keep the default initialization and add --exclude-dynamic-system-prompt-sections to improve prompt- cache reuse across CI runners.

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 agent has analyzed a complex service module-reading 23 source files, tracing request flows, and identifying error handling patterns. A developer wants to compare two testing strategies before committing to one: end-to-end tests with mocked external services vs. snapshot tests capturing expected outputs. They need to independently develop both approaches to evaluate trade-offs.
How should you manage the sessions?

A) Export the analysis session's key findings to a file, then create two new sessions that reference this file.
B) Start two fresh sessions, having each re-read the relevant source files before beginning.
C) Resume the analysis session with fork_session enabled, creating a separate branch for each testing strategy.
D) Continue in the original session, developing end-to-end tests first, then snapshot tests sequentially.

Solutions: