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Mitigate threats using Microsoft SentinelhardMultiple ChoiceObjective-mapped

SC-200 Mitigate threats using Microsoft Sentinel Practice Question

This SC-200 practice question tests your understanding of mitigate threats using microsoft sentinel. 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.

Match each Microsoft Sentinel analytics rule type to its correct description.

Question 1hardmultiple choice
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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

Scheduled → Runs a KQL query on a schedule and generates alerts based on the query results.; Fusion → Correlates multiple high-fidelity alerts from various sources to create a single, comprehensive incident.; Anomaly → Uses machine learning to identify unusual patterns in activity by analyzing entity behavior over time.; Microsoft Security → Creates incidents from alerts generated by Microsoft security products such as Microsoft Defender for Endpoint.

Option A is correct because it accurately describes the four distinct Microsoft Sentinel analytics rule types. Scheduled rules execute KQL queries at defined intervals to generate alerts based on query results. Fusion rules use advanced machine learning to correlate multiple high-fidelity alerts from different sources into a single incident, reducing alert fatigue. Anomaly rules leverage machine learning to detect unusual patterns by analyzing entity behavior over time. Microsoft Security rules automatically create incidents from alerts generated by Microsoft security products like Microsoft Defender for Endpoint, integrating native security signals.

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.

  • Scheduled → Runs a KQL query on a schedule and generates alerts based on the query results.; Fusion → Correlates multiple high-fidelity alerts from various sources to create a single, comprehensive incident.; Anomaly → Uses machine learning to identify unusual patterns in activity by analyzing entity behavior over time.; Microsoft Security → Creates incidents from alerts generated by Microsoft security products such as Microsoft Defender for Endpoint.

    Why this is correct

    This is the correct mapping based on the documented function of each item.

    Related concept

    Read the scenario before looking for a memorised answer.

  • The first and last mappings are swapped.

    Why it's wrong here

    Those items serve different purposes, so the swapped mapping is incorrect.

  • Every item maps to the same log table or feature category.

    Why it's wrong here

    The items populate or represent different tables/features.

  • Only identity-related items are mapped; workload and network items are omitted.

    Why it's wrong here

    A complete mapping must include every listed item.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse the 'Fusion' rule type with 'Microsoft Security' rules, thinking Fusion only correlates Microsoft security alerts, when in fact Fusion correlates alerts from any source (including third-party) and uses ML, while Microsoft Security rules specifically handle native Microsoft security product alerts without ML correlation.

Detailed technical explanation

How to think about this question

Under the hood, Scheduled rules rely on the Azure Monitor Log Analytics workspace and KQL queries that run on a configurable frequency (e.g., every 5 minutes) with a lookback period, generating alerts based on thresholds or pattern matches. Fusion rules use a proprietary machine learning model that analyzes alert metadata (e.g., MITRE ATT&CK tactics, severity, source) to identify multi-stage attacks, automatically creating incidents with a high confidence score. Anomaly rules are built on the UEBA (User and Entity Behavior Analytics) engine, which profiles baseline behavior for entities like users and devices using time-series analysis and statistical deviations. Microsoft Security rules leverage the Microsoft Graph API to ingest alerts from Defender for Endpoint, Defender for Identity, and other products, mapping them to Sentinel incidents with minimal latency.

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

Got this wrong? Here's your next step.

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FAQ

Questions learners often ask

What does this SC-200 question test?

Mitigate threats using Microsoft Sentinel — This question tests Mitigate threats using Microsoft Sentinel — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Scheduled → Runs a KQL query on a schedule and generates alerts based on the query results.; Fusion → Correlates multiple high-fidelity alerts from various sources to create a single, comprehensive incident.; Anomaly → Uses machine learning to identify unusual patterns in activity by analyzing entity behavior over time.; Microsoft Security → Creates incidents from alerts generated by Microsoft security products such as Microsoft Defender for Endpoint. — Option A is correct because it accurately describes the four distinct Microsoft Sentinel analytics rule types. Scheduled rules execute KQL queries at defined intervals to generate alerts based on query results. Fusion rules use advanced machine learning to correlate multiple high-fidelity alerts from different sources into a single incident, reducing alert fatigue. Anomaly rules leverage machine learning to detect unusual patterns by analyzing entity behavior over time. Microsoft Security rules automatically create incidents from alerts generated by Microsoft security products like Microsoft Defender for Endpoint, integrating native security signals.

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 11, 2026

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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.