Configuration Management Tool for Validating Network State in DevOps | Cisco Exam Answer

Which Configuration Management Tool is Designed for Validating Network State in DevOps? | Cisco Exam Answer

Question

A DevOps engineer must validate the working state of the network before implementing a CI/CD pipeline model.

Which configuration management tool is designed to accomplish this?

Answers

Explanations

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A. B. C. D.

A.

The configuration management tool that is designed to validate the working state of the network before implementing a CI/CD pipeline model is Genie CLI, option B.

Genie CLI is a powerful and flexible tool that is designed to automate network testing, verification, and troubleshooting. It is built on top of Python and uses YAML syntax to specify test cases and expected outcomes. It supports a wide range of devices and platforms, including Cisco IOS, IOS-XR, NX-OS, and ASA.

Genie CLI provides a rich set of functionalities to automate network testing, including:

  1. CLI Parsing - to extract structured data from the device CLI output.
  2. Model-Driven Telemetry (MDT) - to stream real-time data from network devices to a remote collector.
  3. Programmability - to automate network testing using Python scripts.
  4. Validation - to compare the actual device state with the expected state specified in YAML test cases.
  5. Reporting - to generate detailed reports on the test results.

With Genie CLI, a DevOps engineer can easily validate the working state of the network by running a series of test cases that cover the network functionality, performance, and security. This ensures that the network is ready for the CI/CD pipeline model, which requires a high degree of automation and reliability.

In contrast, Jenkins, option A, and Travis CI, option C, are continuous integration and continuous delivery (CI/CD) tools that are designed to automate the software development lifecycle, including building, testing, and deploying applications. While they can be used to automate network testing, they are not specifically designed for that purpose.

Python YAML data libraries, option D, are libraries that allow Python to read and write YAML files. While they can be used to define network test cases in YAML format, they do not provide the automation and validation functionalities of Genie CLI.