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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Claude Code Configuration & Workflows | 20% | - CI/CD and workflow integration
|
| Topic 2: Context Management & Reliability | 15% | - Context window optimization
|
| Topic 3: Tool Design & MCP Integration | 18% | - Model Context Protocol (MCP)
|
| Topic 4: Prompt Engineering & Structured Output | 20% | - Tool-augmented prompting
|
| Topic 5: Agentic Architecture & Orchestration | 27% | - Multi-agent orchestration
|
Anthropic Claude Certified Architect Foundations (CCA-F) 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.
A developer asks the agent to investigate why a specific API endpoint intermittently returns 500 errors. The codebase has 200+ files and the developer doesn't know which components are involved. The agent must trace the error through routing, middleware, business logic, and database layers. What task decomposition approach would be most effective?
A. Run parallel worker agents that simultaneously investigate all four layers, then synthesize their findings to identify where the error originates.
B. Define a fixed sequence of investigation steps upfront - grep for error patterns, then read error handlers, then check database queries, then examine middleware - executing each step regardless of intermediate findings.
C. Have the agent first create a comprehensive plan mapping all code paths through the endpoint before beginning any file exploration or code reading.
D. Have the agent dynamically generate investigation subtasks based on what it discovers at each step, adapting its exploration plan as new information about the error path emerges.
Question 2
After the web search agent and document analysis agent complete their tasks, the coordinator invokes the synthesis agent. However, the synthesis agent responds that it cannot complete the task because no research findings were provided. What is the most likely cause of this issue?
A. The synthesis agent's context window is not large enough to hold the combined outputs from both previous agents.
B. The synthesis agent needs tools that can fetch results directly from the other agents' conversation histories.
C. The coordinator did not include the outputs from the previous agents in the synthesis agent's prompt.
D. The subagents need to share a single API connection to enable automatic context sharing between invocations.
Question 3
Your MCP server implements a check_availability tool that queries an external calendar API.
During testing, you encounter three error conditions: (1) the tool is called with a malformed request missing the required user_email parameter, (2) the calendar API returns a 404 because the specified user doesn't exist in the calendar system, and (3) the calendar API returns a 503 because the service is temporarily unavailable. How should each error be reported according to MCP's error handling design?
A. Report error 1 as a JSON-RPC protocol error; report errors 2 and 3 as tool results with isError:
true.
B. Report errors 1 and 2 as JSON-RPC protocol errors; report error 3 as a tool result with isError:
true.
C. Report all three as JSON-RPC protocol errors.
D. Report all three as tool results with isError: true.
Question 4
Your agent is handling a billing dispute. After calling get_customer and lookup_order, it identifies that the dispute involves a promotional pricing error requiring manager approval - beyond the agent's authorization level. How should the workflow handle this mid-process escalation?
A. Compile a structured handoff with customer details, order info, and the identified issue before calling escalate_to_human.
B. Attempt the refund with process_refund anyway, escalating only if the system rejects the transaction.
C. Call escalate_to_human passing only the customer's original message.
D. Persist the complete conversation and tool response history to a database, then call escalate_to_human with a reference ID.
Question 5
Claude produces occasional factual inaccuracies despite clear prompts. Which architectural enhancement is MOST effective?
A. Add grounding through trusted retrieval.
B. Increase temperature.
C. Remove examples.
D. Shorten responses only.
Solutions:
| Question 1 Answer: D | Question 2 Answer: C | Question 3 Answer: A | Question 4 Answer: A | Question 5 Answer: A |





