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SC-200 Practice Question: A SOC analyst wants to leverage Microsoft…
A SOC analyst wants to leverage Microsoft Sentinel's User and Entity Behavior Analytics (UEBA) to detect anomalous sign-in attempts where a user signs in from a country outside their typical pattern. The analyst needs to create an analytics rule that queries the necessary UEBA data. Which Sentinel table should the rule's KQL query primarily reference to evaluate geographic anomalies?
⚠ Common exam trap
Many exam-takers assume raw sign-in logs (SigninLogs) are sufficient for UEBA-based detection, not realizing that Microsoft Sentinel's UEBA pre-processes and enriches the data into the BehaviorAnalytics table, which is the authoritative source for anomaly queries.
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
✓
BehaviorAnalytics
The BehaviorAnalytics table in Microsoft Sentinel is specifically designed to store UEBA output, including normalized user behavior data such as historical geo-location patterns and anomaly scores. By querying this table, the analyst can directly access pre-computed anomalies for sign-in location deviations without needing to perform complex baseline calculations on raw SigninLogs.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
SigninLogs
Why it's wrong here
SigninLogs captures raw authentication events, including IP address, user agent, and location, but it does not contain Sentinel UEBA's machine-generated anomaly scores or behavioral pattern analysis. The UEBA engine ingests SigninLogs and enriches the output into the BehaviorAnalytics table, so querying SigninLogs alone will never surface geographic anomaly ratings like "anomalous country" that UEBA computes. Thus, for threat hunting that depends on UEBA insights, you must query BehaviorAnalytics, not the raw sign-in table.
- ✓
BehaviorAnalytics
Why this is correct
BehaviorAnalytics is the dedicated table where Sentinel's UEBA writes the results of its ML-based behavioral modeling, including weekly baseline scores, geographic anomaly indicators, device trust levels, and time-activity patterns. It exposes rich columns such as UsersInsights, DevicesInsights, and ActivityInsights, each containing structured flags and confidence scores for anomalies like impossible travel or unusual geo-zone sign-ins. Because this table is purpose-built for enriched behavioral evidence, it is the correct target when an analyst needs geographic anomaly detection computed by UEBA.
- ✗
IdentityInfo
Why it's wrong here
IdentityInfo is a static, curated table that mirrors user profile metadata from Entra ID, such as job title, department, office location, and group memberships. While it can enrich an investigation by answering who a user is, it holds no event-level sign-in records or behavioral anomaly calculations. UEBA does use this identity context as an input, but the table itself is not where geographic anomalies or risk scores are stored, so it cannot directly answer a query about anomaly detection.
- ✗
AADUserRiskEvents
Why it's wrong here
AADUserRiskEvents stores risk signals generated by Microsoft Entra ID Identity Protection, such as leaked credentials, impossible travel detections, and suspicious browser behavior. These risk events come from a separate detection engine that operates on its own heuristics and machine learning models, not from Sentinel's UEBA module. Even if an event is also flagged as geographically anomalous, the UEBA anomaly score appears only in BehaviorAnalytics, so this table is not the right source for Sentinel's custom geographic anomaly data.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This SC-200 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-200 exam.