- A
Static rule-based thresholds defined by the SOC
Why wrong: UEBA is not rule-based; it uses ML.
- B
Manual input from the SOC team
Why wrong: UEBA is automated and does not require manual input.
- C
Historical behavior baselines and machine learning
UEBA uses ML to learn normal patterns and flag anomalies.
- D
Threat intelligence feeds from Microsoft
Why wrong: Threat intelligence is separate from behavioral baselines.
Question 525 of 1,411
SC-900 Practice Question: Describe the capabilities of Microsoft security solutions
This SC-900 practice question tests your understanding of describe the capabilities of microsoft security solutions. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A security operations center (SOC) team uses Microsoft Sentinel with User and Entity Behavior Analytics (UEBA) enabled. They notice an alert about a user accessing a sensitive HR application from an unusual IP address at 3 AM. What does UEBA primarily use to detect this anomaly?
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
✓
Historical behavior baselines and machine learning
UEBA in Microsoft Sentinel detects anomalies by establishing a baseline of normal user behavior over time—such as typical login times, locations, and accessed applications—using machine learning models. When a user accesses a sensitive HR app from an unusual IP at 3 AM, the deviation from this learned baseline triggers an alert, not a static rule or manual input.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Static rule-based thresholds defined by the SOC
Why it's wrong here
UEBA is not rule-based; it uses ML.
- ✗
Manual input from the SOC team
Why it's wrong here
UEBA is automated and does not require manual input.
- ✓
Historical behavior baselines and machine learning
Why this is correct
UEBA uses ML to learn normal patterns and flag anomalies.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Threat intelligence feeds from Microsoft
Why it's wrong here
Threat intelligence is separate from behavioral baselines.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse UEBA's ML-driven behavioral baselines with static rule-based detection or external threat intelligence, assuming any unusual IP must come from a threat feed rather than recognizing the anomaly is based on the user's own historical patterns.
Detailed technical explanation
How to think about this question
UEBA leverages Azure Machine Learning to build a probabilistic profile per user, including attributes like geolocation, time-of-day access patterns, and resource sensitivity. The anomaly score is calculated using a combination of time-series decomposition and peer-group analysis, where a low-probability event (e.g., 3 AM access from a new IP) exceeds a dynamic threshold derived from the user's historical entropy. In practice, this allows detection of insider threats or compromised credentials even when the IP is not in any threat feed.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A company's IT admin needs to give a contractor read-only access to production logs without sharing account credentials. Using role-based access control (RBAC) and temporary scoped permissions — not a permanent shared password — is the correct pattern. Questions like this test whether you can apply least-privilege access across cloud identity services.
What to study next
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FAQ
Questions learners often ask
What does this SC-900 question test?
Describe the capabilities of Microsoft security solutions — This question tests Describe the capabilities of Microsoft security solutions — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Historical behavior baselines and machine learning — UEBA in Microsoft Sentinel detects anomalies by establishing a baseline of normal user behavior over time—such as typical login times, locations, and accessed applications—using machine learning models. When a user accesses a sensitive HR app from an unusual IP at 3 AM, the deviation from this learned baseline triggers an alert, not a static rule or manual input.
What should I do if I get this SC-900 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
This SC-900 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-900 exam.
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