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

1. Your expense reimbursement agent processes employee requests using a
process_reimbursement tool. Company policy requires that reimbursements above $500 must be approved by a manager before funds are disbursed. The agent handles hundreds of requests daily, and you need the threshold enforcement to be tamper-proof regardless of how the agent is prompted. Which design ensures the $500 approval threshold cannot be bypassed?

A) Implement the threshold check in a PreToolUse hook that inspects the amount parameter before process_reimbursement executes. If the amount exceeds $500, the hook modifies the tool call to add a requires_approval: true flag, which the tool checks before disbursing.
B) The process_reimbursement tool accepts an approved_by_manager: boolean parameter. The system prompt instructs the agent to only set this to true after confirming that a manager has approved the request. A nightly audit script reviews all reimbursements where approved_by_manager was set to true.
C) The process_reimbursement tool accepts amount and details, and internally enforces the threshold: amounts <$500 are auto-disbursed and the tool returns a success confirmation; amounts >$500 cause the tool to create a pending approval request and return a status indicating manager review is pending.
D) Provide two tools: auto_reimburse (hard-coded limit of $500) and request_manager_approval.
Include detailed system prompt instructions telling the agent to check the amount and call the appropriate tool. Add a PostToolUse hook that logs which tool was called for auditing.

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

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

3. After the web search agent finds 25 sources (120K tokens of raw content), the document analysis agent extracts key insights (15K tokens), and the synthesis agent produces a coherent narrative draft (3K tokens), the coordinator must pass context to the report generation agent for the final output with proper source citations. What context-passing strategy provides the best balance of completeness and efficiency?

A) Pass the synthesis draft along with a structured source index that maps key claims to their source URLs and relevant excerpts.
B) Pass only the synthesis draft and have a separate post-processing pipeline match claims to sources and insert citations after the report is generated.
C) Pass a condensed summary of all prior stages that preserves the main findings and attributes them to sources by name only.
D) Pass the full accumulated context from all prior agents.

4. 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 your agent to identify untested code paths in a legacy payment processing module spanning 45 files. After reading the first 8 source files, the agent's responses are becoming noticeably less accurate - it's forgetting previously discussed code patterns and hasn't yet located all test files or traced critical payment flows. What's the most effective approach to complete this investigation?

A) Switch to using Grep to search for specific function names instead of reading full files, reducing the content loaded into context for remaining exploration.
B) Spawn subagents to investigate specific questions (e.g., "find all test files for payment processing," "trace refund flow dependencies") while the main agent coordinates findings and preserves high-level understanding.
C) Document all current findings in a summary report, clear context completely, then use that report as the sole reference for continuing the investigation.
D) Clear context with /clear, then selectively re-read only the most critical files discovered so far, writing key findings to a scratchpad file that persists between context resets.

5. The synthesis agent receives summarized findings from the web search and document analysis agents, then passes a consolidated summary to the report generator. During testing, you discover the generated reports make factual claims without proper citations - the report generator cannot attribute statements to their original sources because that metadata was lost during the summarization steps. What's the most effective approach to ensure proper source attribution in the final reports?

A) Instruct the synthesis agent to embed source references inline within its summary text using a consistent citation format.
B) Skip summarization and pass full raw outputs from web search and document analysis directly to the report generator.
C) Have the report generator query the web search agent to re-locate sources for claims in the final report.
D) Have each agent output structured data separating content summaries from source metadata (URLs, document names, page numbers).

Solutions: