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Anthropic CCA-F Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Agentic Architecture & Orchestration | 27% | - Agent design patterns
|
| Claude Code Configuration & Workflows | 20% | - Configuration files and structure
|
| Context Management & Responsible AI | 15% | - Safety and compliance
|
| Prompt Engineering & Structured Output | 20% | - Structured data generation
|
| Tool Design & MCP Integration | 18% | - Tool definition and best practices
|
Anthropic Claude Certified Architect Foundations (CCA-F) Sample Questions:
Question 1
Your content curation agent discovers articles, analyzes each for relevance, then adds selected articles to themed collections. With separate discover_articles(topic), analyze_article(id), and add_to_collection(article_id, collection_id) tools, you observe 18+ sequential tool calls per request, causing latency issues. The agent must make editorial judgments about which articles fit a collection's theme - this requires seeing all candidates with their analysis scores simultaneously to select a cohesive set. What tool composition best addresses efficiency while preserving editorial judgment?
A. Keep all tools separate but implement response caching for analyze_article calls.
B. Add a preview_curation(topic, collection_id) tool that shows what would be added based on predefined rules, with an approve_curation() tool to confirm.
C. Create a discover_and_analyze(topic) composite tool that returns all candidates with their analysis scores, keeping add_to_collection separate for selective calls.
D. Create a curate_collection(topic, collection_id) tool that handles discovery, analysis, and selection internally using configurable quality thresholds.
Question 2
You are using Claude Code to accelerate software development. Your team uses it for code generation, refactoring, debugging, and documentation. You need to integrate it into your development workflow with custom slash commands, CLAUDE.md configurations, and understand when to use plan mode vs direct execution.
Your team has connected a custom MCP server that provides DevOps workflow templates. The server exposes several MCP prompts (such as deploy_checklist and incident_response) in addition to tools. How do these MCP prompts become accessible within Claude Code?
A. They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.
B. They are surfaced as @-mentionable resources alongside files, fetched and attached to your message when referenced.
C. They are added to Claude Code's tool registry alongside the server's tools, invoked automatically by the model when relevant to the task.
D. They appear as slash commands (e.g., mcp_servername_deploy_checklist) that you can invoke, with arguments passed after the command name.
Question 3
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.
When researching "renewable energy adoption," the web search agent returns recent statistics (2024: 35% adoption) while the document analysis agent extracts data from internal reports (2021: 18% adoption). The synthesis agent incorrectly flags these as contradictory sources rather than recognizing the data shows growth over time. What change would best enable the synthesis agent to correctly interpret such temporal differences?
A. Add a conflict resolution agent that automatically discards older data when newer data exists for the same metric.
B. Require subagents to include publication or data collection dates in their structured outputs.
C. Instruct the synthesis agent to always treat the most recent data as authoritative and place older findings in a separate historical appendix.
D. Configure the web search agent to only return results from the past 6 months.
Question 4
When the agent calls lookup_order and receives order details showing the item was purchased
45 days ago, how does the agentic loop determine whether to call process_refund or escalate_to_human next?
A. The orchestration layer automatically routes to the next tool based on the order's status field.
B. The order details are added to the conversation and the model reasons about which action to take.
C. The agent follows a pre-configured decision tree mapping order attributes to specific tool calls.
D. The agent executes the remaining steps in a tool sequence planned at the start of the request.
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:
| Question 1 Answer: C | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: B | Question 5 Answer: A |


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