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Anthropic CCAR-F Exam Syllabus Topics:

Anthropic Claude Certified Architect - Foundations Sample Questions:

Question 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, 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. 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.
D. Start writing tests for the first module alphabetically, using test failures and imports to discover related files organically.

Question 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.
Your agent has spent 25 minutes exploring a game engine's rendering subsystem -reading shader code, buffer management, and frame synchronization logic. An engineer now asks it to understand how the physics engine integrates with rendering for collision debug overlays. You notice recent responses reference "typical rendering patterns" rather than the specific VulkanPipeline and FrameGraph classes it discovered earlier.
What's the most effective approach?

A. Use /clear to reset context completely, then start fresh with physics exploration using file paths from the project's CLAUDE.md.
B. Spawn a sub-agent to explore physics independently, then manually synthesize its findings with the rendering knowledge accumulated in the main conversation.
C. Continue in the current context with more targeted prompts referencing the specific classes by name.
D. Summarize key rendering findings, then spawn a sub-agent for physics exploration with that summary in its initial context.

Question 3

You've configured the system so that all four subagents have access to the complete set of
18 tools. During testing, agents frequently call tools outside their specialization - the synthesis agent attempts web searches, and the report generator tries to analyze documents. What is the primary cause of this poor tool selection behavior?

A. Choosing from 18 tools instead of 4-5 relevant ones increases decision complexity beyond reliable selection thresholds.
B. The coordinator cannot track which capabilities each subagent has, leading to misrouted tasks.
C. The tool definitions consume too much context window space, leaving insufficient room for task content.
D. The agents' role descriptions in their system prompts conflict with having access to tools outside that role.

Question 4

An application frequently repeats the same background instructions in every API request. What is a potential downside?

A. Increased hallucinations only.
B. Higher token usage and cost.
C. Lower reliability.
D. Reduced model capability.

Question 5

Your update_user_profile tool accepts a user_id (required) and an optional fields_to_update object. In testing, Claude frequently omits user_id or passes incorrectly structured data. What is most critical for helping Claude understand what parameter values to provide?

A. Clear parameter descriptions explaining expected format, such as "user_id: UUID of the user to update (required)"
B. Detailed error responses explaining why invalid parameter values were rejected
C. Verbose parameter names encoding format hints, such as user_id_string_uuid_format
D. Strict JSON Schema type constraints marking user_id as required and defining fields_to_update as an object type

Solutions: