Download Anthropic : CCDV-F Fragen & Antworten als PDF & Test Software

You are running Claude Code as part of an automated continuous integration pipeline. The pipeline needs Claude Code to execute a set of well-defined tasks without prompting for confirmation, and the output needs to be captured for downstream processing.
How would you configure the pipeline?

• A. Run Claude Code in interactive mode and have a developer manually approve every confirmation prompt while the pipeline executes its tasks.
• B. Disable Claude Code's confirmation prompts globally across all environments so the pipeline runs without interruption from any prompt.
• C. Replace Claude Code with a different tool that does not require any configuration to operate without confirmation prompts in the pipeline.
• D. Run Claude Code in headless mode with the required permissions configured in settings.json and capture its output for downstream processing.

A teammate is debugging a Claude application whose system prompt has grown to several hundred lines and now contains overlapping, contradictory, and obsolete instructions.
How would you advise the teammate?

• A. Add more explicit instructions so the most recent rules dominate the model's interpretation of the prompt during each request.
• B. Split the prompt across multiple system prompts so the model sees a smaller portion at any given time.
• C. Tighten only the contradictory rules first, treating the overlap and obsolete content as lower-priority work the team can address later.
• D. Audit the prompt for overlap, contradiction, and obsolete content, then refactor so each instruction is clear, current, and non-redundant.

Your Claude application makes high-volume API calls during business hours and very few calls overnight.
The team is concerned about staying within rate limits during peak hours and wants to understand how the Claude API enforces those limits.
How would you proceed?

• A. Review the API documentation for streaming endpoints and evaluate whether migrating peak-hour calls to streaming reduces exposure to rate limit enforcement.
• B. Examine the peak-hour request patterns in your application logs and smooth traffic by distributing requests more evenly across the business-hours window.
• C. Assess the average payload size of current API calls and consolidate requests where possible to reduce the total number of calls made during peak hours.
• D. Identify the rate limits, design the application to stay within them during peak hours, and use exponential backoff when limits are reached.

You are designing a Claude application that will require structured JSON output for downstream processing.
The output schema is well-defined, and downstream systems will reject malformed JSON.

• A. Define a clear schema and structure the prompt to request output in that schema, with downstream systems handling any validation needed.
• B. Avoid structured output and use free-form text everywhere instead, on the grounds that free-form text is more flexible and handles edge cases better than structured schemas.
• C. Structure the prompt to request output in a schema that is described in plain English, with downstream systems parsing whatever shape Claude produces.
• D. Define a clear schema, structure the prompt to request output in that schema, and validate Claude's output against the schema before passing it downstream.

Your team is choosing how to add a capability to a Claude application. You want to apply the appropriate option, whether built-in tool, custom tool, Skill, or MCP server, based on the use case.
You would choose the option that...

• A. Is the easiest to build given the team's current development tools and workflows.
• B. Is the newest available option among built-in tools, custom tools, Skills, and MCP servers.
• C. Matches the use case's scope, reuse needs, and integration context.
• D. Is the most familiar to the team based on prior experience with similar capabilities.