Online Access Free CCA-F Exam Questions

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 frequently migrates React components to Vue. You've written a step-by-step workflow for Claude Code to follow during each migration, and you want every developer on the team to invoke it by typing /migrate-component. The workflow should stay in sync as the team iterates on it. Where should you place the skill file?

• A.In .claude/skills/migrate-component/SKILL.md at the project root, committed to version control
• B.In the project's.claude/settings.json using a skillOverrides entry to register and define the workflow
• C.As a detailed instruction block in the project's root CLAUDE.md file
• D.In ~/.claude/skills/migrate-component/SKILL.md on each developer's machine

Compliance requires that refunds exceeding $500 must automatically escalate to a human agent
- this rule cannot be left to model discretion. Despite clear system prompt instructions, production logs show the agent occasionally processes high-value refunds directly (3% failure rate). How should you achieve guaranteed compliance?

• A.Modify the refund tool to return an error with message "Amount exceeds policy limit - please escalate" when threshold is exceeded.
• B.Strengthen the system prompt with emphatic language: "CRITICAL POLICY: Refunds over $500 MUST trigger human escalation. NEVER process these directly."
• C.Add few-shot examples to the prompt showing correct escalation behavior at various refund amounts ($400, $500, $600).
• D.Implement a hook to intercept tool calls; when the refund process amount exceeds $500, block it and invoke human escalation.

A customer raises three separate issues during one session: a refund inquiry (turns 1-15), a subscription question (turns 16-30), and a payment method update (turns 31-45). At turn 48, the customer asks "What happened with my refund?" The conversation is approaching context limits.
What strategy best maintains the agent's ability to address all issues throughout the session?

• A.Implement sliding window context that retains the most recent 30 turns.
• B.Rely on MCP tools to re-fetch relevant information on demand when the customer references earlier issues.
• C.Extract and persist structured issue data (order IDs, amounts, statuses) into a separate context layer.
• D.Summarize earlier turns into a narrative description, preserving full message history only for the active issue.

A financial services company plans to integrate Claude into an internal document analysis platform. The architects want to minimize exposure of confidential client information while maintaining high-quality responses. Which approach BEST aligns with Anthropic's recommended architecture?

• A.Remove unnecessary sensitive information before sending prompts whenever possible.
• B.Replace Claude with a smaller local model regardless of task complexity.
• C.Store every prompt permanently for auditing.
• D.Send every document without preprocessing to maximize context.

The document analysis agent has a single analyze_documnet tool that takes a document and a free-text instruction parameter. During evaluation, requests like "extract the key financial metrics" often return narrative summaries, while "summarize the methodology" sometimes returns raw data tables. The synthesis agent reports that 35% of analysis results require re-requests with clarified instructions. What's the most effective way to improve reliability?

• A.Split the generic tool into purpose-specific tools - extract_data_points, summarize_content, verify_claim_against_source - each with defined input/output contracts
• B.Keep the single tool but add an analyze_type enum parameter requiring explicit selection between extraction, summarization, and verification modes
• C.Enhance the tool description with detailed examples showing how different instruction phrasings should map to different output formats
• D.Have the coordinator pre-classify each analysis request before passing instructions to the document analysis agent