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Microsoft SC-200 Exam Syllabus Topics:

SectionWeightObjectives
Respond to security incidents35–40%- Automate incident response
  • 1. Create playbooks in Microsoft Sentinel
  • 2. Use security Copilot for response
  • 3. Configure automation rules
- Triage and classify incidents
  • 1. Determine scope and root cause
  • 2. Investigate alerts and evidence
  • 3. Prioritize incidents based on severity and impact
- Contain, eradicate, and recover
  • 1. Remove malicious artifacts
  • 2. Apply containment measures
  • 3. Restore systems and data
Perform threat hunting20–25%- Plan and prepare threat hunts
  • 1. Work with hunting bookmarks and livestreams
  • 2. Define hunting hypotheses
  • 3. Use Kusto Query Language (KQL)
- Analyze and report hunting results
  • 1. Share intelligence with teams
  • 2. Create detections from hunting results
  • 3. Document findings
- Hunt for threats across environments
  • 1. Hunt in cloud and hybrid environments
  • 2. Hunt in Microsoft Defender XDR
  • 3. Hunt in Microsoft Sentinel
Manage security operations environment40–45%- Configure and manage Microsoft Sentinel workspace
  • 1. Configure logging and retention
  • 2. Configure data connectors
  • 3. Design workspace architecture
  • 4. Manage roles and permissions
- Configure Microsoft Defender XDR
  • 1. Configure settings and policies
  • 2. Manage alerts and incidents
  • 3. Enable and integrate services
- Integrate with other Microsoft security services
  • 1. Microsoft Defender for Cloud
  • 2. Microsoft Entra ID Protection
  • 3. Microsoft Purview

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Microsoft Security Operations Analyst Sample Questions (Q365-Q370):

NEW QUESTION # 365
You have an Azure subscription that uses Microsoft Defender XDR.
From the Microsoft Defender portal, you perform an audit search and export the results as a file named Filel.
csv that contains 10,000 rows.
You use Microsoft Excel to perform Get & Transform Data operations to parse the AuditData column from Filel.csv. The operations fail to generate columns for specific JSON properties.
You need to ensure that Excel generates columns for the specific JSON properties in the audit search results.
Solution: From Defender, you modify the search criteria of the audit search to reduce the number of returned records, and then you export the results. From Excel, you perform the Get & Transform Data operations by using the new export.
Does this meet the requirement?

Answer: A

Explanation:
This solution does not reliably meet the requirement. The underlying problem is not the absolute count of rows in the CSV but how Power Query (Get & Transform) infers and expands JSON properties: Power Query samples the input rows to discover the JSON schema/fields. If a particular JSON property does not appear in the sample used for schema detection, Power Query will not create a column for it when you expand the JSON. Simply reducing the exported record count from Defender (so you end up with fewer rows) only helps if the exported dataset by chance contains the missing JSON properties within the rows Power Query samples. It is not a guaranteed or controlled fix and therefore does not meet the requirement.
The correct fixes are to (a) adjust Power Query's sampling/preview settings so it inspects more rows (so the property is included in schema detection), or (b) explicitly parse the JSON and expand fields using Power Query M functions (for example parse each AuditData with JSON.Document and then expand Record fields), which ensures the desired properties become columns regardless of initial sampling. Reducing Defender export size is not the recommended or reliable approach.


NEW QUESTION # 366
Hotspot Question
You have a Microsoft 365 subscription that uses Microsoft Defender XDR and contains a Windows device named Device1.
You investigate a suspicious process named Prod on Device1 by using a live response session.
You need to perform the following actions:
- Stop Prod.
- Send Prod for further review.
Which live response command should you run for each action? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:


NEW QUESTION # 367
You have a Microsoft Sentinel workspace named Workspace1 and 200 custom Advanced Security Information Model (ASIM) parsers based on the DNS schema. You need to make the 200 parsers available in Workspace1.
The solution must minimize administrative effort. What should you do first?

Answer: A


NEW QUESTION # 368
Hotspot Question
You have a Microsoft 365 E5 subscription that uses Microsoft Defender XDR.
You have an Azure subscription that contains a Log Analytics workspace named Workspace1.
You forward all logs to Workspace1.
You need to identify all the applications and security principals that made requests to modify Microsoft Entra groups during the previous 24 hours.
How should you complete the KQL query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
Box 1: MicrosoftGraphActivityLogs
Access Microsoft Graph activity logs
Azure Monitor Logs query examples
If you send Microsoft Graph activity logs to a Log Analytics workspace, you can query the logs using Kusto Query Language (KQL).
Box 2: PUT
Requests to modify.
Sending a PUT request will update or replace existing data on the server. POST , on the other hand, is a safe method because it does not modify the state of the server. Sending a POST request will create new data on the server, but it will not modify any existing data.
Reference:
https://learn.microsoft.com/en-us/graph/microsoft-graph-activity-logs-overview
https://www.keycdn.com/support/put-vs-post
https://learn.microsoft.com/en-us/azure/azure-
monitor/reference/tables/enrichedmicrosoft365auditlogs


NEW QUESTION # 369
You have the resources shown in the following table.

You have an Azure subscription that uses Mictosoft Defender for Cloud.
You need to use Defender for Cloud to protect VM1 and Server1. The solution must meet the following requirements:
* Support Advanced Threat Protection and vulnerability assessment
* Register each SQL Server 2022 instance as a SQL virtual machine.
* Minimize implementation and administrative effort
What should you deploy to each server? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

For SQL Server on Azure VMs (VM1) , Defender for Cloud's Advanced Threat Protection and Vulnerability Assessment for SQL "on machines" are enabled by registering the instance as a SQL virtual machine using the SQL IaaS Agent extension . This single Azure VM extension onboards the SQL workload, exposes SQL VM resource management, and lights up Defender for SQL (ATP + VA) with minimal admin effort-no separate agents are required on Azure VMs beyond this extension for these features.
For on-premises/Arc servers (Server1) , the machine is already Arc-enabled . To protect SQL instances with Defender for Cloud and to surface vulnerabi lity assessment and threat protection signals, you deploy the Azure Arc SQL Server extension (delivered as an Arc "virtual machine extension") to register the instance with Azure. In addition, Arc scenarios use the Azure Monitor Agent (AMA) for data collec tion and security signal ingestion in Defender for Cloud (the legacy Log Analytics agent is not recommended). This combination satisfies ATP/VA requirements while keeping operations simple and consistent with current agent guidance.
Therefore:
* VM1: only th e Azure VM extension (SQL IaaS Agent extension).
* Server1: AMA + an Azure (Arc) extension (Arc SQL Server extension).


NEW QUESTION # 370
......

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