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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

Question #1

Your code-review prompts include both implementation changes and the corresponding test file, but the review comments fail to identify untested code paths. The model correctly flags functions that have no tests at all, but it fails to recognize when conditional branches or error-handling paths within tested functions lack coverage. What is the most effective way to improve branch- level gap detection without overcomplicating the pipeline?

A. Add explicit instructions requiring Claude to enumerate every conditional branch and exception path, then verify that each path has a corresponding test assertion.
B. Include few-shot examples showing code with an uncovered branch and the corresponding review comment identifying the missing test case.
C. Implement a two-pass pipeline in which one model call extracts all conditional branches and another cross-references them against test assertions.
D. Interleave the implementation and tests in the prompt, presenting each function immediately before its test cases.

Question #2

Your agent has called lookup_order multiple times while investigating a customer's return requests. Each response includes 40+ fields (items, shipping details, payment info, status history). Tool outputs now represent the majority of the conversation's context. The customer mentions two more orders they want to discuss. What's the most effective approach before making additional lookups?

A. Have the model generate a natural language summary of each order's key details, replacing structured responses with prose descriptions
B. Extract only the return-relevant fields (items, purchase date, return window, status) from each existing order response, removing verbose details
C. Proceed with additional lookups without modifying the existing tool output context
D. Move all tool responses to a vector database with semantic indexing, retrieving relevant portions as the conversation continues

Question #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, and Glob--and integrates with Model Context Protocol (MCP) servers.
An engineer who recently joined the team asks the agent to explain the authentication and authorization architecture before making security improvements. The codebase contains more than 800 files across multiple services.
What exploration strategy will most effectively build understanding while respecting context limits?

A. Read all files containing auth, login, permission, or token in their filenames or contents.
B. Launch parallel subagents to explore every service simultaneously, and then synthesize their findings into an architectural overview.
C. Use Grep to locate authentication entry points, read those files, and then follow imports and function calls incrementally to map the authentication flow.
D. Read all CLAUDE.md and README files first, and then ask the engineer to identify the 10?5 most important authentication files.

Question #4

A customer returns 4 hours after the initial session about the same billing dispute. The previous
32-turn session contains lookup_order results showing "Status: PENDING, Expected resolution:
24-48 hours." In testing, you observe that when resuming sessions with stale tool results, the agent often references the outdated data in responses (e.g., "I see your refund is still being processed") even after subsequent fresh tool calls return different information. What approach most reliably handles returning customers?

A. Resume with full history but filter out previous tool_result messages before resuming, keeping only the human/assistant turns so the agent must re-fetch needed data.
B. Start a new session, inject a structured summary of the previous interaction (issue type, actions taken, resolution status), then make fresh tool calls before engaging.
C. Resume with full history and configure the agent to automatically re-call all previously-used tools at session start to ensure data freshness.
D. Resume with full history and add a system prompt instruction telling the agent to always prefer the most recent tool results when multiple calls to the same tool exist in context.

Question #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 the agent to find all files in the monorepo that import the @company/auth package to understand how authentication is used across services. Which built-in tool is most appropriate for this task?

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

Solutions: