Microsoft Security Operations Analyst Associate SC-200 Practice Question
While investigating a suspicious rise in privilege-escalation activity, you open Microsoft Security Copilot and type the following prompt:
List the five users that present the highest lateral-movement risk during the last 24 hours and explain why they are considered risky.
Which feature of Security Copilot allows the service to return an evidence-based answer to this question without requiring you to specify where the data should come from?
Inline citation formatting that appends source links to the model's narrative response
A Microsoft Sentinel plugin that must be explicitly invoked to query user entity pages
Automatic grounding of prompts (powered by Retrieval-Augmented Generation)
The presentation layer that converts JSON output from the model into a readable table
Security Copilot automatically "grounds" large-language-model responses in live security telemetry from connected Microsoft products such as Microsoft Defender XDR and Microsoft Sentinel. During grounding, the service uses Retrieval-Augmented Generation (RAG) to pull the most relevant signals-such as anomalous Kerberos tickets, unusual logon paths, or Defender for Identity alerts-and passes this context to the language model. Because grounding handles data retrieval and correlation behind the scenes, you can ask for the five riskiest users without manually choosing data sources. The other options describe capabilities that either extend Copilot (plugins), change how responses are displayed (presentation layer), or only add transparency (inline citations) rather than automatically gathering the required data.
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Microsoft Security Operations Analyst Associate SC-200
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