Cisco Certified DevNet Professional Intermediate Practice Exam: Medium Difficulty 2025

You are designing a microservice that consumes multiple network-controller APIs. The service must remain responsive even when one downstream API is slow or intermittently failing, and it must avoid overloading that API during outages. Which design approach best meets these requirements?

A DevNet team is building an internal library that wraps several REST APIs. They want to make the library safer and easier to use by preventing invalid request payloads at development time, while still allowing runtime validation for edge cases. Which approach best fits this goal?

Your application integrates with a third-party API that enforces rate limits and returns HTTP 429 responses with a Retry-After header. Users complain about sporadic failures during peak hours. What is the most appropriate client-side behavior?

A Python script calls a network API that returns large JSON documents. You only need a small subset of fields to update an inventory system. Which approach is best to reduce processing overhead and make the code more maintainable?

You are automating configuration changes on a Cisco controller that supports REST APIs and asynchronous tasks. After submitting a change request, the API returns an immediate response with a task identifier. What is the most reliable way to confirm the change succeeded before updating your CMDB?

A DevOps team uses Cisco collaboration platform APIs to provision users and devices. They need to minimize privileges while still allowing automation to create, update, and deactivate users. Which approach best aligns with least privilege and operational safety?

You are deploying an internal API service on Kubernetes that calls Cisco controller APIs. Security requires that secrets (API keys/tokens) are not baked into container images and can be rotated without rebuilding. What is the best solution?

A CI/CD pipeline deploys a network automation service. After deployment, you must ensure only trusted code reaches production and that artifacts can be traced back to a specific commit and build process. Which practice best meets these requirements?

You are automating changes across 200 network devices using Ansible. The change must be repeatable and safe to re-run, and it should not report changes when devices are already compliant. Which Ansible approach best meets these requirements?

A team is adopting Infrastructure as Code for network-related cloud resources and on-prem automation. They want peer review, the ability to audit changes, and a reliable way to roll back to a known good state after a failed deployment. Which workflow best supports these goals?