Filtering must happen before data is written to the Log Analytics workspace. With Azure Monitor Agent, Syslog collection is governed by data collection rules, and DCR transformations or filtering can reduce ingestion before records reach the workspace. An ASIM parser normalizes queried data after ingestion, an analytics rule detects conditions after data exists, and a table-level transformation is not the primary collection control for Linux Syslog from AMA in this scenario. The posture and monitoring objective focuses on turning security data into usable operational outcomes. The correct answer either collects the right signal, grants the right security-operations role, or automates incident handling at the correct layer. Distractors often provide dashboards, queries, or broad permissions, but those do not create the requested workflow or least-privilege security capability. The result is a direct exam-style implementation choice: it changes the required security behavior without relying on unrelated monitoring, manual cleanup, or excessive privilege. Official Microsoft source/topic: SC-500 Study Guide > Syslog event collection; Microsoft Learn > data collection rules for Azure Monitor Agent.

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