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Anthropic CCA-F Exam Syllabus Topics:

Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:

Question 1

A customer sends: "This is frustrating. I've explained my issue twice and nothing is being resolved. I want to talk to a real person NOW." The agent has not yet called any tools to investigate their account. What should the agent do?

A. Briefly explain what the agent can help with and offer to resolve the issue quickly, escalating only if the customer repeats their request.
B. Acknowledge the frustration and ask one targeted question to understand the specific issue before escalating.
C. Immediately call escalate_to_human with the conversation history.
D. First call get_customer and lookup_order to gather account context, then escalate to a human agent.

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.
An engineer asks the agent to understand how the caching layer works before adding a new cache invalidation trigger. After initial Grep searches, the agent has identified that caching logic spans 15 files including decorators, middleware, and service classes (~8,000 lines total). What's the most effective next step for building understanding while managing context constraints?

A. Use Grep to search for "invalidate" and "expire" patterns across all files, then Read only those specific line ranges with minimal surrounding context.
B. Use the Read tool to sequentially load all 15 files, building complete understanding across the full caching implementation.
C. Analyze imports and class hierarchies to identify the base cache class, Read that file to understand the interface, then trace specific invalidation implementations.
D. Use Glob to find files matching common caching patterns (cache.py, caching/), prioritize the largest files by reading them first, then check smaller files for gaps.

Question 3

Your order management system requires tools for three distinct operations: issuing refunds (requires amount and reason), canceling orders (requires reason), and requesting reshipments (requires shipping address). Each operation shares an order_id parameter but has different additional requirements. You notice during testing that with your current unified tool design, the agent frequently omits required parameters or includes irrelevant ones. What design change will most effectively improve parameter accuracy?

A. Keep one unified tool with a nested operation_details object parameter whose internal structure varies by operation type, documented in the tool description.
B. Split into three separate tools (issue_refund, cancel_order, request_reshipment), each defining only the parameters required for that specific operation.
C. Keep one unified tool but add JSON Schema if-then-else conditionals to enforce that parameters like amount are required only when the operation type is "refund".
D. Keep one unified tool with all parameters marked optional, but add detailed few-shot examples in the system prompt showing correct parameter combinations for each operation type.

Question 4

A company is building its first production Claude application. Which principle should guide the initial deployment?

A. Disable monitoring to reduce costs.
B. Maximize prompt complexity immediately.
C. Optimize only for response speed.
D. Start with a simple design and iteratively evaluate improvements.

Question 5

An organization wants predictable outputs for automated invoice classification. Which API parameter should generally be LOWER?

A. Prompt length
B. Temperature
C. Max tokens
D. Context window

Solutions: