Prep and try our CCDV-F valid and latest training questions & answers

Your Claude agent performs database operations. A recent incident occurred where the agent ran a destructive query that affected production data. The team wants to add deterministic controls to prevent similar incidents.
How would you prevent similar incidents?

• A. Add a system prompt instruction telling the agent to be careful with database operations on every request the application handles during normal operation across all incoming traffic.
• B. Switch to a higher-capability Claude model on the grounds that a more capable model is less likely to run destructive queries during normal operation across all requests.
• C. Run the agent only during business hours when humans are available to monitor its activity, treating the schedule as the primary control mechanism for destructive operations.
• D. Add Claude hooks that intercept database operations and apply deterministic checks, such as blocking destructive queries or requiring approval, before the queries execute.

A new Claude model release includes performance improvements for several reasoning tasks but has changed the format of its responses to system prompts that use multi-section instructions. Your application uses multi- section system prompts heavily. Initial evaluation on the application's actual workload shows the new model performs 8 percent better on reasoning tasks but produces malformed output on roughly 3 percent of requests because of the format change. The team is debating whether to upgrade.
How would you decide?

• A. Upgrade and add a downstream validation step that catches the 3 percent malformed output before it reaches users, treating the validation step as the team's mitigation for the format change.
• B. Stay on the previous model permanently to avoid the malformed output rate and any future format changes that subsequent model releases might introduce in the application.
• C. Adapt the application's system prompt to the new model's format expectations and re-evaluate, then upgrade only if the adapted prompt eliminates the malformed output while preserving the reasoning improvements.
• D. Upgrade immediately, because the 8 percent reasoning improvement outweighs the 3 percent malformed output rate across the application's typical request distribution.

Your team is integrating Claude into an existing REST API service. The service handles concurrent requests, and you are deciding how to structure the Claude API calls within the existing async codebase.
How would you structure the Claude calls?

• A. Run Claude API calls in a separate thread pool isolated from the rest of the service so the main event loop is not affected.
• B. Make synchronous Claude API calls and block the async event loop until each call completes before processing the next request.
• C. Replace the existing async REST service with a synchronous service to match the call style of synchronous Claude SDK clients.
• D. Use the Claude SDK's async client and structure Claude calls as awaitable operations alongside the rest of the service's async code.

Your Claude application produces good responses for typical inputs but struggles with edge cases. You have several labeled examples of edge-case inputs and the desired response for each. You want to use these examples to improve the model's handling of edge cases.
What is the best way to use these examples?

• A. Embed the examples in a database for the model to find during inference.
• B. Tell users to avoid submitting the edge-case inputs to the application by adding warnings in the application's user interface.
• C. Train a custom model on the edge-case examples and deploy that custom model in place of the team's current Claude integration.
• D. Add the labeled edge-case examples to the prompt as few-shot examples so the model can learn the pattern.

You have just shipped a new Claude-powered application to production. The development phase is complete, and the system is now in active use by internal teams.
The next phase of work for this system is...

• A. Handing the system over to a separate operations team that will manage it independently of the development team going forward.
• B. Retiring the system, since shipping is the final lifecycle stage for any application that reaches production.
• C. Operating and maintaining the system, including monitoring, responding to issues, and planning evolution.
• D. Running a formal post-deployment review that assesses the development phase before the team does any further work on the system.