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Anthropic CCA-F Exam Syllabus Topics:

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

1. Users report that final reports sometimes lack depth on specific subtopics. Investigation shows that the document analysis agent frequently identifies gaps - for instance, noting "the retrieved sources discuss API authentication but lack details on token refresh patterns" - but under the current strict pipeline, this insight isn't actionable since search has already completed. What's the most effective architectural change?

A) Have the coordinator review analysis output for gap indicators and re-invoke search with gap- informed queries when gaps are detected.
B) Add a research planning agent before the search phase that decomposes topics into specific sub- questions.
C) Have the analysis agent report specific gaps to the coordinator, which triggers targeted searches and re-invokes analysis until sufficient.
D) Have the synthesis agent attach confidence scores to each section and flag areas with insufficient coverage for manual review.

2. Your process_refund tool returns two types of errors: technical errors ("503 Service Unavailable",
"Connection timeout") that are transient (5% of calls), and business errors ("Order exceeds
30 day return window", "Item already refunded") that are permanent (12% of calls). Monitoring shows the agent wastes 3-4 turns retrying business errors that can never succeed. Currently, both error types return only a plain text message to Claude. What's the most effective way to reduce wasted retries while improving customer-facing response quality?

A) Implement automatic retry logic at the tool level for technical errors only, passing business errors to Claude without retries.
B) Return structured error responses with retriable: false for business errors and a customer-friendly explanation for Claude to use.
C) Add a check_refund_eligibility tool that must be called before process_refund to prevent business rule violations.
D) Add few-shot examples showing how to distinguish retriable from non-retriable errors by parsing error message text.

3. 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 surfaced as @-mentionable resources alongside files, fetched and attached to your message when referenced.
B) They are automatically prepended to every conversation as additional system-level context, influencing Claude's behavior throughout the session.
C) They appear as slash commands (e.g., mcp_servername_deploy_checklist) that you can invoke, with arguments passed after the command name.
D) They are added to Claude Code's tool registry alongside the server's tools, invoked automatically by the model when relevant to the task.

4. 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.
A critical bug is affecting production users. Error logs show exceptions in the OrderProcessing module with a clear stack trace pointing to a specific function. You haven't worked with this module before. What's the most effective approach?

A) Enter plan mode to explore the module's architecture and dependencies before attempting any fixes.
B) Use plan mode to analyze the error in context of the module's design, enumerate potential root causes, and prioritize fixes systematically.
C) Start with direct execution to gather initial information, then switch to plan mode to design a comprehensive solution before implementing any changes.
D) Use direct execution to examine the stack trace, read the relevant code, and implement a fix once you identify the root cause.

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.
During testing, you observe that in extended exploration sessions (30+ minutes), the agent starts giving inconsistent answers about code structure it discussed earlier. Engineers report having to repeat context about modules they've already explored. What's the most effective approach to address this?

A) Switch to a higher-capacity model tier to provide more context window space for accumulated exploration data.
B) Have the agent maintain a scratchpad file that records key findings, referencing it for subsequent questions.
C) Implement automatic context clearing every 15 minutes to ensure the agent starts with fresh, uncontaminated context.
D) Create summaries of all source files before exploration begins, loading only these compressed representations into context.

Solutions: