What are two advantages of Python virtual environments? (Choose two.)
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A. B. C. D. E.CE.
Sure, I'll explain each option and its advantages in detail:
A. Virtual environments can move compiled modules between different platforms. This option is not entirely accurate. Virtual environments don't allow moving compiled modules between different platforms, but they do provide an isolated environment for Python projects. This means that you can have different versions of Python and installed packages in each virtual environment. It can be beneficial if you want to run the same project on multiple platforms with different configurations. For example, if you have a project that requires a specific version of Python, you can create a virtual environment with that version and move it to another platform without worrying about any conflicts.
B. Virtual environments permit non-administrative users to install packages. One of the advantages of virtual environments is that they don't require administrative privileges to install packages. This means that non-administrative users can create their virtual environments and install packages without interfering with the system-wide Python installation. It's particularly useful in environments where multiple users need to work on the same system, but each user requires different Python packages.
C. The application code is run in an environment that is destroyed upon exit. When you create a virtual environment, it provides an isolated environment for the application code to run. Once the application exits, the virtual environment is destroyed, and any installed packages and configurations are cleaned up. This ensures that there are no leftover files or configurations that could cause conflicts with other projects. Additionally, this can help to ensure that the application code runs consistently across multiple environments.
D. Virtual environments allow for stateful high availability. This option is incorrect. Virtual environments don't provide any built-in functionality for stateful high availability. While you could potentially use virtual environments in a high availability setup, it would require additional configuration and management beyond what virtual environments provide.
E. Virtual environments prevent packaging conflicts between multiple Python projects. One of the primary benefits of virtual environments is that they provide isolated environments for Python projects. This means that you can have multiple projects running on the same system, each with its own set of installed packages and configurations. This helps to prevent conflicts between different Python projects, which can occur when multiple projects require different versions of the same package. Virtual environments allow you to have different versions of the same package installed for different projects, ensuring that each project runs as intended.