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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

1. 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 sees the unfamiliar error message SYNC_CONFLICT: entity version mismatch detected in production logs but does not know which of the 12 services in the codebase generates it. The engineer asks the agent to locate the responsible source code.
What exploration approach will find the responsible code most efficiently?

A) Use Grep to search for distinctive text from the error message, such as SYNC_CONFLICT or entity version mismatch , and then read the matching files to understand the context.
B) Use Glob to find files in directories commonly associated with error handling, such as errors , exceptions , or handlers , and then read every matching file.
C) Read the project's README and service-configuration files, and then systematically read source files in every service directory.
D) Use Grep to locate every file importing the project's error-handling module, and then read those files to find custom error definitions.

2. You are building a multi-agent research system using the Claude Agent SDK. A coordinator agent delegates to specialized subagents: one searches the web, one analyzes documents, one synthesizes findings, and one generates reports. The system researches topics and produces comprehensive, cited reports.
After the web-search and document-analysis subagents complete their tasks, the coordinator needs to spawn the synthesis subagent to synthesize the findings.
What is the correct approach for providing the synthesis subagent with the information it needs?

A) Provide the subagent with tool definitions that allow it to request outputs from other subagents through callbacks.
B) Spawn the subagent with only a brief task description, relying on automatic context inheritance from the coordinator.
C) Pass reference identifiers and configure the subagent with read access to a shared memory store where the other subagents deposited their results.
D) Include the complete findings from both subagents directly in the synthesis subagent's prompt.

3. After deploying the automated review, you notice high precision but low recall-real bugs are slipping through undetected. Investigation reveals that your review prompt instructs Claude to "only report high- confidence issues you are certain about" and "err on the side of not commenting." Developers appreciate the low noise, but a race condition that caused a production outage was visible in a reviewed pull request and went unreported. You need to substantially improve bug detection while keeping false-positive rates manageable. What is the most effective approach?

A) Add detailed few-shot examples demonstrating bug categories Claude should flag-race conditions, null dereferences, and error-handling gaps-while retaining the high-confidence filtering instruction.
B) Split the review into a finding stage whose objective is comprehensive coverage-reporting every potential issue with confidence and severity metadata-and a separate stage that verifies and thresholds those findings.
C) Expand the context to include related tests, recent Git history, and the module's dependency graph so Claude has richer evidence for judging severity.
D) Remove the conservative instructions and have Claude report every potential issue, then apply a programmatic filter that deduplicates findings and suppresses historically noisy categories.

4. 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 callers of a function before removing it. The function is defined in a core library but is also exposed through wrapper modules that rename the function for domain-specific use (e.
g., calculateTax in the library becomes computeOrderTax in the orders module).
What exploration strategy will most reliably identify all callers?

A) Use Grep to find all files that import from the library or wrapper modules, then read each file to check whether it uses the function.
B) Read the library and wrapper modules to identify all exposed names for the function, then Grep for each name across the codebase.
C) Use Grep to search for the function's original name across the codebase.
D) Search for the function name in project documentation to understand intended usage patterns and navigate to documented integration points.

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.
Engineers frequently ask the agent to cross-reference code changes with Jira tickets during reviews- checking ticket descriptions, acceptance criteria, and recent comments. This currently requires manually copying and pasting content into conversations. The team wants the agent to access this standard Jira ticket data directly.
What is the most effective approach?

A) Use the Bash tool with curl to call Jira's REST API, including authentication headers and parsing JSON responses inline.
B) Build a custom MCP server wrapping Jira's API with tools designed specifically for this team's code- review workflow.
C) Integrate an existing Jira MCP server that exposes tickets, comments, and metadata through discoverable tool interfaces.
D) Export Jira tickets to Markdown files in the repository that the agent accesses using the Read tool.

Solutions: