Quick Answer
The correct choice is a scheduled query rule because it is the only Microsoft Sentinel analytics rule type that allows you to run a custom KQL query at defined intervals to match specific conditions, such as a user account being created outside business hours from an unusual IP address. Unlike Fusion, which correlates multistage attacks, or ML Behavior Analytics, which relies on prebuilt machine learning models, a scheduled query rule gives you full control over the logic and schedule, making it ideal for detecting precise, rule-based threats. On the Microsoft Cybersecurity Architect exam, this question tests your ability to distinguish between rule types by focusing on the requirement for a custom query versus automated detection. A common trap is confusing scheduled query rules with anomaly rules, but remember: if you need to write your own KQL to match exact criteria, it is always a scheduled query rule. Memory tip: “Custom conditions call for scheduled queries.”
This SC-100 practice question tests your understanding of design security solutions for applications and data. 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.
Your organization uses Microsoft Sentinel for security information and event management (SIEM). You need to create an analytics rule that detects when a user account is created outside of business hours from an unusual IP address. Which type of rule should you use?
Anomaly rule
Why wrong: Anomaly rules detect deviations from baselines.
Scheduled query rule
Scheduled rules run KQL queries at defined intervals to detect specific patterns.
ML Behavior Analytics rule
Why wrong: MLBA uses ML models, not custom KQL.
Fusion rule
Why wrong: Fusion rules detect multistage attacks, not specific conditions.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Scheduled query rule
Option C is correct: Scheduled query rules run at regular intervals to detect suspicious activity based on KQL queries. Option A is wrong: Fusion is for multistage attacks. Option B is wrong: ML Behavior Analytics uses machine learning, not custom queries. Option D is wrong: Anomaly rules are for detecting anomalies, not specific conditions.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Anomaly rule
Why it's wrong here
Anomaly rules detect deviations from baselines.
Scheduled query rule
Why this is correct
Scheduled rules run KQL queries at defined intervals to detect specific patterns.
Related concept
Read the scenario before looking for a memorised answer.
ML Behavior Analytics rule
Why it's wrong here
MLBA uses ML models, not custom KQL.
Fusion rule
Why it's wrong here
Fusion rules detect multistage attacks, not specific conditions.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which SC-100 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Design security solutions for applications and data — This question tests Design security solutions for applications and data — Read the scenario before looking for a memorised answer..
The correct answer is: Scheduled query rule — Option C is correct: Scheduled query rules run at regular intervals to detect suspicious activity based on KQL queries. Option A is wrong: Fusion is for multistage attacks. Option B is wrong: ML Behavior Analytics uses machine learning, not custom queries. Option D is wrong: Anomaly rules are for detecting anomalies, not specific conditions.
Identify which SC-100 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 21, 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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