When applying a high-severity patch across many servers with minimal downtime, which approach minimizes manual repetition and ensures consistency?

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Multiple Choice

When applying a high-severity patch across many servers with minimal downtime, which approach minimizes manual repetition and ensures consistency?

Explanation:
Automating patch deployment through configuration management against a centralized server inventory is what makes patching scalable, repeatable, and low on downtime. Configuration management tools enforce a desired state across all nodes, applying the same patch steps in a consistent, idempotent way so you don’t rely on manual, error-prone actions on each server. By updating the patching scripts or playbooks and running them against a master inventory, you ensure every server is included, changes are auditable, and you can coordinate the rollout (for example, in rolling waves) to minimize impact and provide easy rollback if needed. In contrast, shutting down and redeploying is disruptive, patching manually across servers invites human error and inconsistency, and cloning servers then swapping them introduces complexity and drift without guaranteeing a smooth, unified update path.

Automating patch deployment through configuration management against a centralized server inventory is what makes patching scalable, repeatable, and low on downtime. Configuration management tools enforce a desired state across all nodes, applying the same patch steps in a consistent, idempotent way so you don’t rely on manual, error-prone actions on each server. By updating the patching scripts or playbooks and running them against a master inventory, you ensure every server is included, changes are auditable, and you can coordinate the rollout (for example, in rolling waves) to minimize impact and provide easy rollback if needed. In contrast, shutting down and redeploying is disruptive, patching manually across servers invites human error and inconsistency, and cloning servers then swapping them introduces complexity and drift without guaranteeing a smooth, unified update path.

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