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SC-100 Practice Question: Design security operations, identity, and compliance capabilities

Your organization uses Microsoft Defender XDR to correlate alerts across endpoints, email, and identities. You need to create a custom detection rule that triggers when a user receives a phishing email and then attempts to log in from a new location. Which approach should you use?

⚠ Common exam trap

Many candidates confuse the scope of custom detection rules in Defender for Endpoint (endpoint-only) with the cross-domain capability of Advanced Hunting in Defender XDR, or they mistakenly think automation rules can create new detection logic rather than just automate responses to existing alerts.

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

Use Advanced Hunting to create a custom detection rule

Advanced Hunting in Microsoft Defender XDR allows you to write Kusto Query Language (KQL) queries that correlate events across multiple data tables (e.g., EmailEvents, IdentityLogonEvents). You can then create a custom detection rule from that query, which will trigger an alert when a user receives a phishing email and subsequently logs in from a new location, enabling cross-domain correlation within Defender XDR.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Use Advanced Hunting to create a custom detection rule

    Why this is correct

    Advanced Hunting is the XDR-native KQL query interface spanning the unified Defender XDR data schema, including endpoint, email, identity, and cloud app tables. By saving an advanced hunting query as a custom detection rule, Defender XDR continuously evaluates cross-domain signals and generates alerts, making it the correct mechanism for correlating evidence from multiple sources.

  • Create a custom detection rule in Microsoft Defender for Endpoint

    Why it's wrong here

    Custom detection rules in Defender for Endpoint are confined to the endpoint telemetry tables (for example, DeviceProcessEvents and DeviceNetworkEvents). They cannot query email, identity, or cloud app events, so they are incapable of performing the cross-domain correlation the scenario requires. This option addresses only one pillar of the XDR scope, not the full picture.

  • Use an automation rule in Microsoft Defender XDR

    Why it's wrong here

    Automation rules in Defender XDR execute response actions—such as changing incident status, assigning ownership, or triggering playbooks—on alerts and incidents that already exist. They do not write new KQL logic or process raw queries, and therefore cannot create correlation logic from scratch. This option is about reacting to detections, not generating them.

  • Create an analytics rule in Microsoft Sentinel

    Why it's wrong here

    Analytics rules in Microsoft Sentinel operate in the separate Log Analytics workspace and require onboarding XDR connectors plus writing KQL against a different schema. Although Sentinel can ingest Defender XDR signals, using it bypasses the native, unified XDR correlation engine and adds unnecessary architectural complexity. Because the requirement is to use Microsoft Defender XDR itself, the native Advanced Hunting custom detection rule is the direct and intended approach.

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JA

Written by Johnson Ajibi, MSc IT Security

Senior Network & Security Engineer · founder of Courseiva

This SC-100 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the SC-100 exam.