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Anthropic CCA-F Exam Syllabus Topics:

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

1. A developer includes multiple unrelated tasks inside one extremely long prompt. What is the MOST likely outcome?

A) Reduced instruction clarity.
B) Improved reasoning.
C) Increased prompt clarity.
D) Faster inference.

2. Your get_portfolio_value tool returns the total value of a user's investment portfolio. You're deciding between returning a structured JSON object with explicit fields versus returning the information as a formatted text string. What is the primary advantage of using structured output with defined fields?

A) The agent can reliably extract specific values without parsing free-form text, reducing errors in subsequent operations.
B) JSON schemas automatically validate that the underlying API returned correct data before the agent processes it.
C) Structured JSON is processed deterministically by the model, significantly improving accuracy when extracting values.
D) Structured JSON consumes significantly fewer tokens than natural language, substantially reducing API costs.

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 analyzing complex legal cases that cite multiple precedents, the document analysis subagent processes each sequentially. A landmark case citing 12 precedents takes over 3 minutes to analyze completely. What's the most effective way to reduce this latency while preserving the coordinator's ability to monitor and debug the system?

A) Create a recursive agent hierarchy where analysis agents subdivide work among child agents until reaching single-precedent granularity
B) Enable the document analysis subagent to spawn its own specialized subagents dynamically when it encounters cases with many citations
C) Implement a message queue where precedent analysis tasks are processed asynchronously by a pool of worker agents
D) Have the coordinator spawn parallel document analysis subagents, each handling a subset of precedents, then aggregate results before synthesis

4. Production monitoring shows that follow-up queries like "summarize what we learned about market trends" consistently take 40+ seconds. Investigation reveals the coordinator spawns the synthesis subagent for each summarization request, passing 80K+ tokens of accumulated findings. The coordinator already has these findings in its context from orchestrating the research.
What's the most effective way to improve response time for these follow-up summaries?

A) Have the coordinator handle straightforward summarization requests directly using its existing context, reserving subagent spawning for complex analysis.
B) Enable prompt caching on the synthesis subagent to reduce the overhead of repeatedly transferring the same research findings.
C) Pre-generate and cache summaries at multiple granularities whenever new findings accumulate.
D) Spawn the synthesis subagent with reduced context and have it request specific findings from the coordinator on-demand.

5. 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 is configuring MCP servers in Claude Code. You want to add a shared venue lookup server that all team members should have access to, and you personally want to add an experimental music playlist server that only you are testing. Which configuration approach correctly applies MCP server scopes?

A) Add both servers to your local ~/.claude.json
B) Add venue server to ~/.claude.json and playlist server to .mcp.json
C) Add venue server to .mcp.json and playlist server to ~/.claude.json.
D) Add both servers to the project-level .mcp.json file

Solutions: