- A
Add the user to the entity behavior analytics exclusion list.
Exclusion list prevents alerts for that user while keeping the rule active.
- B
Disable the UEBA anomaly rule for unusual locations.
Why wrong: Disabling the rule stops all alerts, not just for the traveler.
- C
Change the alert severity to Informational.
Why wrong: Changing severity does not prevent the alert from firing.
- D
Increase the lookback period for the anomaly detection.
Why wrong: Increasing lookback may not eliminate false positives for a known traveler.
Quick Answer
The correct answer is to add the user to the entity behavior analytics exclusion list. This works because Microsoft Sentinel’s UEBA engine allows you to suppress alerts for specific entities—such as users or devices—without disabling the underlying detection rule, thereby reducing UEBA false positives by exclusion list while preserving anomaly detection for the rest of your environment. On the SC-200 exam, this scenario tests your understanding of fine-tuning behavioral analytics without sacrificing coverage; a common trap is thinking you must modify the rule’s threshold or disable it entirely. Remember the memory tip: “Exclude the entity, not the rule”—this keeps your detection logic intact while silencing noise from known travelers or trusted accounts.
SC-200 Manage a security operations environment Practice Question
This SC-200 practice question tests your understanding of manage a security operations environment. 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.
You are a security operations analyst at a company that uses Microsoft Sentinel. You have enabled User and Entity Behavior Analytics (UEBA) to detect anomalies. A new alert fires indicating a user is logging in from an unusual location. However, the user is a known traveler. How can you reduce false positives without disabling the UEBA rule?
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
Add the user to the entity behavior analytics exclusion list.
Option A is correct because Microsoft Sentinel's UEBA allows you to add specific users to an entity behavior analytics exclusion list. This prevents the UEBA engine from generating alerts for that user's anomalous activities, such as logins from unusual locations, without disabling the underlying detection rule. This approach maintains detection coverage for other users while suppressing false positives for known travelers.
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.
- ✓
Add the user to the entity behavior analytics exclusion list.
Why this is correct
Exclusion list prevents alerts for that user while keeping the rule active.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Disable the UEBA anomaly rule for unusual locations.
Why it's wrong here
Disabling the rule stops all alerts, not just for the traveler.
- ✗
Change the alert severity to Informational.
Why it's wrong here
Changing severity does not prevent the alert from firing.
- ✗
Increase the lookback period for the anomaly detection.
Why it's wrong here
Increasing lookback may not eliminate false positives for a known traveler.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may think disabling the rule or changing severity is the correct approach, but Microsoft specifically tests the ability to use entity-level exclusions to handle known exceptions without compromising overall detection coverage.
Detailed technical explanation
How to think about this question
UEBA in Microsoft Sentinel uses machine learning models to establish a baseline of user behavior over a configurable lookback period (default 14 days). When a user logs in from a location not in their historical pattern, the model calculates an anomaly score based on the deviation. The entity behavior analytics exclusion list works by bypassing the scoring engine for specified users, effectively treating their activities as normal regardless of the deviation. This is distinct from suppression rules or alert tuning, which operate at the analytics rule level rather than the user entity level.
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
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this SC-200 question test?
Manage a security operations environment — This question tests Manage a security operations environment — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Add the user to the entity behavior analytics exclusion list. — Option A is correct because Microsoft Sentinel's UEBA allows you to add specific users to an entity behavior analytics exclusion list. This prevents the UEBA engine from generating alerts for that user's anomalous activities, such as logins from unusual locations, without disabling the underlying detection rule. This approach maintains detection coverage for other users while suppressing false positives for known travelers.
What should I do if I get this SC-200 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 25, 2026
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