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Last Updated: Oct 23, 2026
No. of Questions: 415 Questions & Answers with Testing Engine
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Certification Topics of Microsoft SC-200 Exam
Mitigate threats using Azure Defender (25-30%)
Mitigate threats using Azure Sentinel (40-45%)
Mitigate threats using Microsoft 365 Defender (25-30%)
Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/sc-200
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Prerequisites for Microsoft SC-200 exam
Microsoft Certified: Security Operations Analyst Associate
Microsoft SC-200 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Mitigate threats using Microsoft 365 Defender | 25-30% | - Hunt threats in Microsoft 365 Defender
|
| Topic 2: Mitigate threats using Microsoft Defender for Endpoint | 25-30% | - Hunt threats using advanced hunting
|
| Topic 3: Mitigate threats using Microsoft Defender for Cloud Apps | 20-25% | - Investigate and respond to threats
|
| Topic 4: Mitigate threats using Microsoft Defender for Identity | 15-20% | - Investigate and respond to identity threats
|
Microsoft Security Operations Analyst Sample Questions:
You have an Azure subscription.
You need to stream the Microsoft Graph activity logs to a third-party security information and event management (SIEM) tool. The solution must minimize administrative effort.
To where should you stream the logs?
- A. an Azure Storage account
- B. an Azure Event Hubs namespace
- C. an Azure Event Grid namespace
- D. a Log Analytics workspace
Correct Answer: B 🗳️
Explanation: Only visible for TrainingQuiz members. You can sign-up / login (it's free).
You have an on-premises Linux server that runs a background process named App1 and has the Azure Connected Machine agent installed.
You have a Microsoft Sentinel workspace named WS1.
You need to configure a data collection rule (DCR) named DCR1 that will use the Syslog via AMA connector to collect messages related to App1. The solution must meet the following requirements:
* Only collect messages that have a priority level of critical.
* Minimize the volume of data collected.
Which facility and log level should you configure for DCR1? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
When configuring the Syslog via Azure Monitor Agent (AMA) connector in Microsoft Sentinel, the Data Collection Rule (DCR) determines which Linux system logs are ingested. Syslog messages are filtered based on facility (the subsystem that generated the message) and severity level (priority).
According to Microsoft's "Collect Syslog data sources using Azure Monitor Agent" documentation:
"Syslog facilities define which type of process generated the log (e.g., authentication, cron, daemon), and log levels define the severity (0=emerg, 1=alert, 2=crit, 3=err, etc.). To minimize data ingestion and cost, select only the facility and the highest severity level required for your investigation." In this scenario:
You need to collect logs related to App1, a background process (non-kernel, non-authentication, non-cron).
Typically, such custom or application-level processes send logs to LOG_AUTH or LOG_DAEMON, depending on configuration. If App1 is an application that uses authentication or security features, the LOG_AUTH facility is appropriate.
You must collect only logs with a critical priority, which corresponds to Syslog severity 2 (critical). In Syslog terminology, that maps to the LOG_EMERG or "emergency" level and above.
However, to ensure minimum data collection while still capturing critical events, Sentinel's best practice is to configure the Syslog DCR to collect only the specific facility associated with the application and the exact required severity level. For "critical only," LOG_EMERG is the correct choice because it ensures that only the most urgent (critical/emergency) events are ingested, reducing data volume and cost.
# Final Configuration:
Setting
Correct Option
Purpose
Facility
LOG_AUTH
Collects security/authentication-related logs for App1
Log level
LOG_EMERG
Collects only critical/emergency events (priority # 0) to minimize ingestion volume In summary:
Selecting LOG_AUTH and LOG_EMERG satisfies both requirements - capturing only the highest-severity logs relevant to App1 while keeping the ingestion volume minimal, in line with Microsoft Sentinel Syslog DCR configuration guidance.
You have an Azure subscription that contains a Microsoft Sentinel workspace named WS1. WS1 has the Azure Activity connector and the Microsoft Entra ID connector configured.
You need to investigate which accounts have the most alerts and any corresponding incident information for each alert. The solution must minimize administrative effort What should you do first in WS1?
- A. Use User and Entity Behavior Analytics (UEBA) to detect anomalies.
- B. Enable User and Entity Behavior Analytics (UEBA).
- C. From Content hub, install Cloud Identity Threat Protection Essentials.
- D. From Content hub, install the Microsoft Purview insider risk management solution.
Correct Answer: B 🗳️
You have a Microsoft 365 E5 subscription that uses Microsoft Teams.
You need to perform a content search of Teams chats for a user by using the Microsoft Purview compliance portal. The solution must minimize the scope of the search.
How should you configure the content search? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
When performing a content search for Microsoft Teams chats in the Microsoft Purview Compliance portal, Teams messages are not stored directly in Teams. Instead, they are archived in the users' Exchange Online mailboxes. This applies to both 1:1 and group chat messages. Channel messages, on the other hand, are stored in the Exchange mailbox associated with the Microsoft 365 Group that owns the Team.
Therefore, to search Teams chat messages, you must target the Exchange mailboxes - not SharePoint sites or public folders. Selecting Exchange mailboxes ensures you're searching the storage location where chat message copies reside.
To further minimize the scope of your search and focus only on Teams chat content, use the keyword property filter Kind:im. The "Kind" property specifies the type of message, and Kind:im limits results to instant messages, which include Teams chat content.
Here's how the query is typically configured:
Location: Exchange mailboxes (for user and Teams group chat data).
Keyword: Kind:im (to return only instant message content).
Other options explained:
Exchange public folders - store shared emails, not Teams content.
SharePoint sites - store Teams files, not chat messages.
Category and ItemClass - can refine searches but don't specifically filter by chat type.
# Final Answer:
Locations: Exchange mailboxes
Keywords: Kind
You need to implement Azure Sentinel queries for Contoso and Fabrikam to meet the technical requirements.
What should you include in the solution? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Correct Answer:
Explanation:
In Microsoft Sentinel (built on Azure Monitor Logs), analytics and hunting queries are executed within a Log Analytics workspace. To run Sentinel queries for Fabrikam, the tenant must have at least one workspace (with Sentinel enabled) in its subscription to host rules, incidents, hunting queries, and workbooks. Sentinel's cross- workspace/tenant capability is provided by cross-resource queries in Kusto Query Language (KQL). The key construct for reaching outside the current workspace is the workspace() function, which lets you reference another Log Analytics workspace by name or resource ID-even across subscriptions or tenants when proper permissions (often via Azure Lighthouse or guest access) are in place.
Typical correlation looks like:
union workspace( ' Fabrikam-WS ' ).SecurityEvent, workspace( ' Contoso-WS ' ).SecurityEvent | ...
Here, workspace() is the required element to bring together data sets from multiple tenants; operators like extend and project only shape columns and do not establish cross-tenant scope. Therefore, to meet the requirements with minimal overhead: Fabrikam needs one workspace to host its Sentinel content, and you use workspace() in your KQL to correlate Contoso and Fabrikam data.
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