Hi, 

The configuration is valid and the CLI version supports the lifecycle field. However, the error is most likely coming from outdated Databricks Python packages in your virtual environment at /home/animesh/datazone/.venv/. CLI uses the packages from the venv to parse and validate the bundle. Those packages are from an older version that doesn't recognize lifecycle as a valid field for volumes and hence the Unexpected field 'lifecycle' for class Volume error.

You can activate your virtual environment and upgrade the databricks-sdk & all other packages in the environment. You can upgrade to python 3.13.2 if feasible for better management. lifecycle.prevent_destroy field will be recognized and your bundle will validate and deploy successfully after its upgraded.