In which two use cases should a Python virtual environment be used? (choose two.)
A.
When developing multiple Python projects in the same environment that have the same Python package version requirements.
B.
When developing multiple Python projects in the same environment that have conflicting Python package versions.
C.
When developing the same Python application across multiple systems using the same application requirements.
D.
When creating a new project with several development environments in a multi-project development system across the infrastructure.
E.
When creating a new project that has a clean development environment in a multi-project development system.
The Answer Is:
B, E
This question includes an explanation.
Explanation:
Python virtual environments should be used in cases where there are conflicting Python package versions across multiple projects (Option B) to ensure each project can have its own set of dependencies. Additionally, they are beneficial when starting a new project that requires a clean development environment (Option E), as it allows for a controlled setup without interference from other projects’ dependencies. References := ( Automating Cisco Enterprise Solutions Official Cert Guide )
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