200-901 Cisco Exam Lab Questions

The main purpose of a code review is to identify and review errors, ensuring code quality and adherence to coding standards. It involves evaluating the code for bugs, security vulnerabilities, and performance issues, and discussing potential improvements with the team. This collaborative process helps catch errors early, fosters knowledge sharing, and improves the overall quality of the codebase.

References:

Cisco DevNet Associate Study Guide: Code Review Best Practices (Chapter 6, Section: Importance of Code Reviews).

pyATS (Python Automation Test System) is a tool developed by Cisco that allows for comprehensive testing of network configurations and automation scripts. It is designed to validate and test changes before they are applied to the production environment, ensuring reliability and reducing the risk of errors.

References:

Cisco DevNet Associate Study Guide: Network Test Automation (Chapter 6, Section: Introduction to pyATS and Its Use Cases).

NTP (Network Time Protocol) is the protocol used for clock synchronization between network devices. It synchronizes the clocks of computers and network devices to ensure that all devices in a network have the same time, which is crucial for logging events, security protocols, and coordinating time-sensitive operations.

Python classes are a fundamental aspect of object-oriented programming (OOP) in Python. They offer several benefits:

Improved Code Organization: Classes bundle data (attributes) and functionality (methods) together. This encapsulation helps keep related parts of the code together, making it easier to understand and manage.

Reusability and Inheritance: Classes support inheritance, allowing the creation of new classes based on existing ones. This promotes code reuse and can lead to a more logical structure.

Modularity: By using classes, you can create modules that encapsulate specific functionalities, making the code modular and easier to maintain.

Encapsulation and Abstraction: Classes allow for encapsulating data and functionality, providing a clear structure and abstraction layers, which enhance code readability and maintainability.

References:

Python Classes and Objects - W3Schools

Python Documentation on Classes