Which term describes the processes and tools used to detect deviations from configuration baselines and to track asset states over time?

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Multiple Choice

Which term describes the processes and tools used to detect deviations from configuration baselines and to track asset states over time?

Explanation:
Monitoring/Asset Tracking is about keeping a continuous eye on systems and their components, then comparing what is currently in place to established baselines. It combines collecting configuration data, observing asset states over time, and generating alerts when there’s drift from the desired configuration. This dual focus gives you an up-to-date view of what you have (the asset inventory) and how it’s configured (the state of each asset), plus an historical record to support audits, compliance, and faster remediation when changes occur. The goal is not just to log data, but to continuously verify that configurations remain aligned with policy and to detect deviations promptly. This makes it the best fit for describing both detecting configuration drift and tracking asset states over time. Other terms don’t capture this combined capability: assignment/Accounting centers on resource allocation and finances, data historian specializes in time-series data for processes rather than configuration and asset management, and IoT refers to the network of connected devices rather than the monitoring and tracking process itself.

Monitoring/Asset Tracking is about keeping a continuous eye on systems and their components, then comparing what is currently in place to established baselines. It combines collecting configuration data, observing asset states over time, and generating alerts when there’s drift from the desired configuration. This dual focus gives you an up-to-date view of what you have (the asset inventory) and how it’s configured (the state of each asset), plus an historical record to support audits, compliance, and faster remediation when changes occur. The goal is not just to log data, but to continuously verify that configurations remain aligned with policy and to detect deviations promptly. This makes it the best fit for describing both detecting configuration drift and tracking asset states over time. Other terms don’t capture this combined capability: assignment/Accounting centers on resource allocation and finances, data historian specializes in time-series data for processes rather than configuration and asset management, and IoT refers to the network of connected devices rather than the monitoring and tracking process itself.

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