- A
Automation rules with playbooks
Why wrong: Playbooks require triggers; they don't auto-investigate low-fidelity alerts.
- B
Entity behavior analytics (UEBA) with automated investigation
UEBA profiles entities and can trigger automated investigation for low-fidelity alerts.
- C
Machine Learning (ML) based anomaly detection
Why wrong: ML detects anomalies but doesn't automatically investigate.
- D
Custom analytic rules
Why wrong: Custom rules generate alerts, but don't auto-investigate.
Quick Answer
The answer is Entity behavior analytics (UEBA) with automated investigation. This feature is the correct choice because it establishes behavioral baselines for users and entities, then automatically investigates low-fidelity alerts by comparing them against these historical patterns. When the correlation confirms malicious activity, it escalates the alert into a formal incident, effectively filtering out noise and reducing manual triage. On the Microsoft Cybersecurity Architect exam, this scenario tests your understanding of how UEBA integrates with automation to handle high-volume, low-confidence signals without overwhelming the SOC. A common trap is selecting basic automation rules or playbooks alone, which lack the behavioral profiling needed to distinguish benign anomalies from true threats. Remember the memory tip: “UEBA profiles, automation escalates”—the baseline is the key to turning low-fidelity noise into confirmed incidents.
SC-100 Practice Question: Design security operations, identity, and compliance capabilities
This SC-100 practice question tests your understanding of design security operations, identity, and compliance capabilities. This is a configuration task: choose the command set that satisfies every stated requirement. Small differences — like 'secret' vs 'password' or 'transport input ssh' vs 'all' — change whether the answer is correct. 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.
Your organization uses Microsoft Sentinel to centralize security logs from multiple clouds. The security team needs a solution that automatically investigates low-fidelity alerts and creates incidents only when confirmed malicious. Which Microsoft Sentinel feature should you configure?
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
Entity behavior analytics (UEBA) with automated investigation
Entity behavior analytics (UEBA) with automated investigation is the correct choice because it profiles normal user and entity behavior, then automatically investigates low-fidelity alerts by correlating them with historical baselines. When the investigation confirms malicious activity, it escalates to an incident, reducing noise and manual triage.
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.
- ✗
Automation rules with playbooks
Why it's wrong here
Playbooks require triggers; they don't auto-investigate low-fidelity alerts.
- ✓
Entity behavior analytics (UEBA) with automated investigation
Why this is correct
UEBA profiles entities and can trigger automated investigation for low-fidelity alerts.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Machine Learning (ML) based anomaly detection
Why it's wrong here
ML detects anomalies but doesn't automatically investigate.
- ✗
Custom analytic rules
Why it's wrong here
Custom rules generate alerts, but don't auto-investigate.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse automation rules (which respond after an incident) with the automated investigation capability (which runs before incident creation), leading them to choose Option A instead of B.
Detailed technical explanation
How to think about this question
UEBA in Microsoft Sentinel leverages machine learning models to establish behavioral baselines for entities (users, hosts, IPs) over a 14-day sliding window. The automated investigation feature uses a graph-based approach to correlate alerts with entity timelines, running playbooks in the background to gather additional context (e.g., checking Azure AD sign-in logs) before deciding to create an incident. In a real-world scenario, a low-fidelity alert like 'impossible travel' can be automatically investigated by UEBA to check if the user's previous location and device match the new sign-in, suppressing false positives without analyst intervention.
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 cloud solutions architect for a retail company is evaluating services for a new workload. The correct answer here reflects best practice for the specific scenario described — not a general cloud recommendation. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Cloud exam questions reward reading the constraint carefully: the same technology can be right or wrong depending on the use case.
What to study next
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FAQ
Questions learners often ask
What does this SC-100 question test?
Design security operations, identity, and compliance capabilities — This question tests Design security operations, identity, and compliance capabilities — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Entity behavior analytics (UEBA) with automated investigation — Entity behavior analytics (UEBA) with automated investigation is the correct choice because it profiles normal user and entity behavior, then automatically investigates low-fidelity alerts by correlating them with historical baselines. When the investigation confirms malicious activity, it escalates to an incident, reducing noise and manual triage.
What should I do if I get this SC-100 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: Jun 24, 2026
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.
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