KQL for SC-200: A Practical Primer
The KQL fundamentals SC-200 candidates need - query structure, hunting tables, aggregation and how advanced hunting differs from Sentinel hunting.
SC-200 skills · 8 min read · updated 2026-09-04
KQL (Kusto Query Language) is the working language of Microsoft hunting: Defender XDR advanced hunting and Sentinel Log Analytics both speak it. SC-200 does not make you write perfect queries, but reading and adapting them is an exam and job skill.
The anatomy of a query
A KQL query is a pipeline: start from a table, then chain operators separated by a pipe. SigninLogs | where TimeGenerated > ago(1d) | where ResultType != 0 | project TimeGenerated, UserPrincipalName, AppDisplayName, IPAddress reads naturally: last day's sign-ins that failed, showing only the columns you need.
Learn a small operator set deeply rather than many shallowly: where, project, summarize, extend, sort by, top and join cover most hunting work you will see on the exam.
The tables worth memorising
In Defender XDR advanced hunting, DeviceProcessEvents, DeviceNetworkEvents, DeviceLogonEvents and EmailUrlInfo map directly to attacker behaviour. In Sentinel, SigninLogs, AuditLogs, OfficeActivity and the SecurityEvent family are the daily drivers.
You do not need every schema by heart - you need to recognise which behaviour lives in which table, because exam scenarios describe an attack and ask where you would hunt it.
Aggregation and detection thinking
Detection is often aggregation: DeviceNetworkEvents | summarize ConnectionCount = count() by RemoteIP, bin(TimeGenerated, 1h) | where ConnectionCount > 50 turns raw logs into a beaconing signal. Understand summarize with count, dcount and make_list - they power most analytics rules.
Then close the loop in Sentinel: the same query becomes the heart of a scheduled analytics rule, which creates an incident, which a playbook enriches. SC-200 tests exactly this chain.
Frequently asked questions
- How much KQL is on the SC-200 exam?
- You will not be asked to write long queries from scratch, but scenario questions show queries or ask where to hunt a behaviour, so reading KQL fluently matters. Expect advanced hunting and analytics-rule contexts rather than syntax trivia.
- Where can I practise KQL for free?
- Microsoft Learn KQL tutorials, the advanced hunting demo schema in Defender XDR, and a Sentinel trial workspace with sample data (or a cheap lab tenant) cover everything - one small query a day for six weeks is enough to be fluent.
- Is KQL useful outside SC-200?
- Yes - it powers Sentinel hunting rules, Defender XDR custom detections, Azure Resource Graph and Azure Data Explorer. It is one of the few skills that compounds across the whole Microsoft security stack.
Keep reading for SC-200
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