Anthropic CCA-F echte frage : Claude Certified Architect Foundations (CCA-F)

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 coordinator did not include the outputs from the previous agents in the synthesis agent's prompt.
• B. The synthesis agent's context window is not large enough to hold the combined outputs from both previous agents.
• C. The subagents need to share a single API connection to enable automatic context sharing between invocations.
• D. The synthesis agent needs tools that can fetch results directly from the other agents' conversation histories.

Your post_content tool requires user confirmation before publishing. The current workflow displays "Ready to post to social media. Confirm?" and analytics show users approve 98% of requests within 2 seconds. Post-mortems reveal incidents where posts went to wrong accounts, were scheduled for wrong times, or contained errors - all confirmed by users without catching the mistakes. How should you redesign the confirmation workflow?

• A. Include the complete post text, target account, scheduled time, and platform in the confirmation request
• B. Add a mandatory waiting period before the confirm option becomes available
• C. Require users to type a confirmation phrase instead of clicking a button
• D. Auto-approve routine posts and only require explicit confirmation for unusual patterns like posting to new accounts or large audiences

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's CLAUDE.md includes a rule: "Use 4-space indentation and always run Prettier formatting." Despite this, code reviews reveal that roughly 30% of files Claude Code generates use inconsistent formatting - sometimes 2-space indentation, sometimes missing trailing commas. Adding emphasis ("IMPORTANT: You MUST use Prettier formatting") reduces violations to about 15%, but doesn't eliminate them. What is the most effective way to ensure all generated code is consistently formatted?

• A. Extract the formatting rules into a dedicated skill that Claude loads automatically when generating code, with more detailed examples of correct formatting.
• B. Split the formatting rules into path-scoped .claude/rules/files that load when Claude works on matching file types.
• C. Add a Stop hook with a prompt-based check that evaluates whether generated code follows formatting standards and prompts Claude to fix violations.
• D. Configure a PostToolUse hook with an Edit|Write matcher that automatically runs Prettier on each file Claude modifies.

After investigating a billing dispute over 25+ turns, you've identified that duplicate charges occurred due to a payment gateway timeout triggering retry logic. The required refund ($847) exceeds your $500 authorization limit You need to call escalate_to_human, and the human agent won't have access to your conversation transcript. What context should you pass to enable effective resolution?

• A. The customer's original complaint verbatim plus the tool result excerpts showing duplicate transactions.
• B. A structured summary: customer ID, root cause, refund amount, and recommended action.
• C. The complete conversation transcript with all tool results.
• D. Your diagnosis and the refund amount only.

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.
Your codebase exploration tool stores session IDs to allow engineers to continue investigations across work sessions. An engineer spent an hour yesterday analyzing a legacy authentication module, building context about its architecture and dependencies. They want to continue today.
The session ID is valid, but version control shows 3 of the 12 files the agent previously read were modified overnight by a teammate's merge. What approach best balances efficiency and accuracy?

• A. Start fresh session to ensure the agent works with current codebase state without stale assumptions
• B. Resume the session and inform the agent which specific files changed for targeted re-analysis
• C. Resume the session and immediately have the agent re-read all 12 previously analyzed files
• D. Resume the session without informing the agent about the changed files