1. Describe the Value of Model Driven Programmability for Infrastructure Automation 200-901 Practice Questions (Page 1)

Questions 1–5

1. 1application · medium

   A network team manages a fleet of 200 switches from multiple vendors. They currently use CLI scripts that parse text output to verify VLAN configurations. After a recent change, a script failed to detect a misconfigured VLAN because the vendor's CLI output format changed slightly. The team wants a more robust approach that reduces such failures. Which approach best addresses their need?

   • AContinue using CLI scripts but add more regex patterns to handle output variations
   • BUse model-driven programmability with YANG models to retrieve structured configuration data
   • CAsk each vendor to freeze their CLI output format
   • DReplace all switches with a single vendor to ensure consistent CLI output
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2. 2application · medium

   A network engineer is writing a Python script to configure interface descriptions on a router. The engineer wants to use a structured data format that is both human-readable and machine-parseable, and that can be validated against a schema. Which approach aligns with model-driven programmability?

   • AUse a TFTP server to upload a configuration file
   • BUse a YANG model to define the interface description and send it via NETCONF
   • CUse a CLI script that sends the command 'interface description' over SSH
   • DUse SNMP to set the interface description OID
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4. 3foundation · easy

   What is a key advantage of model-driven programmability over traditional CLI-based management?

   • AIt is only available on Cisco devices, whereas CLI is universal.
   • BIt eliminates the need for any authentication or authorization.
   • CIt provides a structured, machine-readable interface that reduces the need for parsing text output.
   • DIt requires less training for network engineers because it uses familiar CLI commands.
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5. 4application · medium

   A network operations team wants to monitor link utilization and packet drops on core routers in near real-time to detect anomalies. They need a solution that streams structured data continuously rather than polling at intervals. Which use case of model-driven programmability best fits this requirement?

   • AConfiguration management using Ansible playbooks
   • BNetwork telemetry using YANG models to subscribe to data streams
   • CCompliance checking by comparing running configs to a baseline
   • DSNMP polling every 5 minutes
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6. 5foundation · easy

   How does model-driven programmability enable infrastructure automation?

   • ABy requiring manual translation of every configuration command into a scripting language.
   • BBy allowing automation tools to guess the device configuration based on historical CLI commands.
   • CBy providing a structured, machine-readable interface that automation tools can use to read and modify device configuration.
   • DBy providing a graphical user interface that administrators use to manually configure devices.
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