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Microsoft SC-200 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Mitigate threats using Microsoft Defender for Cloud Apps	20-25%	- Configure Microsoft Defender for Cloud Apps 1. Configure policies and alerts 2. Configure app connectors and OAuth apps 3. Configure Conditional Access App Control 4. Configure Cloud Discovery - Hunt threats using Cloud Apps data 1. Use Cloud Discovery for shadow IT investigation 2. Create anomaly detection policies 3. Create activity policies - Investigate and respond to threats 1. Investigate app activities and events 2. Investigate file activities 3. Investigate compromised user accounts 4. Respond to app alerts and governance actions
Topic 2: Mitigate threats using Microsoft Defender for Endpoint	25-30%	- Hunt threats using advanced hunting 1. Create and execute KQL queries for threat hunting 2. Investigate Zero Trust incidents 3. Monitor file and network activity - Configure Microsoft Defender for Endpoint environment 1. Configure role-based access control 2. Configure attack surface reduction rules 3. Configure Windows Security settings 4. Configure device grouping and labeling - Manage devices and monitor threats 1. Monitor devices and triage alerts 2. Configure device proxy and connectivity settings 3. Onboard and offboard devices 4. Respond to device alerts and incidents
Topic 3: Mitigate threats using Microsoft Defender for Identity	15-20%	- Configure Microsoft Defender for Identity 1. Configure role-based access control 2. Configure detection thresholds 3. Configure sensor settings 4. Configure alert notifications - Investigate and respond to identity threats 1. Investigate compromised accounts 2. Investigate suspicious activities 3. Respond to identity-based alerts 4. Investigate lateral movement path alerts - Hunt threats using Defender for Identity 1. Analyze security posture and recommendations 2. Use identity evidence and timeline 3. Investigate domain trust issues
Topic 4: Mitigate threats using Microsoft 365 Defender	25-30%	- Investigate and respond to threats in Microsoft 365 Defender 1. Manage investigations 2. Respond to compromised identities 3. Investigate alerts and incidents 4. Analyze evidence and threat intelligence 5. Implement threat remediation actions - Hunt threats in Microsoft 365 Defender 1. Use advanced hunting queries 2. Create custom detection rules 3. Hunt for threats across devices, users, and mailboxes - Configure Microsoft 365 Defender settings 1. Configure role-based access control 2. Configure Microsoft 365 Defender portal settings 3. Configure alert notification settings

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Microsoft Security Operations Analyst Sample Questions (Q249-Q254):

NEW QUESTION # 249
You need to configure the Azure Sentinel integration to meet the Azure Sentinel requirements.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation
Graphical user interface, text, application Description automatically generated

Reference:
https://docs.microsoft.com/en-us/cloud-app-security/siem-sentinel

NEW QUESTION # 250
You have a Microsoft Sentinel workspace that has User and Entity Behavior Analytics (UEBA) enabled.
You need to identify all the log entries that relate to security-sensitive user actions performed on a server named Server1. The solution must meet the following requirements:
* Only include security-sensitive actions by users that are NOT members of the IT department.
* Minimize the number of false positives.
How should you complete the query? To answer, select the appropriate options in the answer are a. NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 251
You are informed of an increase in malicious email being received by users.
You need to create an advanced hunting query in Microsoft 365 Defender to identify whether the accounts of the email recipients were compromised. The query must return the most recent 20 sign-ins performed by the recipients within an hour of receiving the known malicious email.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Explanation:

Reference:
https://docs.microsoft.com/en-us/microsoft-365/security/defender/advanced-hunting-query-emails-devices?
view=o365-worldwide

NEW QUESTION # 252
You use Azure Defender.
You have an Azure Storage account that contains sensitive information.
You need to run a PowerShell script if someone accesses the storage account from a suspicious IP address.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. Create an Azure logic app that has an Azure Security Center alert trigger.
B. From Azure Security Center, enable workflow automation.
C. From Azure Active Directory (Azure AD), add an app registration.
D. Create an Azure logic app that has an HTTP trigger.
E. Create an Azure logic app that has a manual trigger.

Answer: A,B

Explanation:
You want a security trigger for the login and you use this trigger to start the automation workflow with the powershellscript.
https://docs.microsoft.com/en-us/azure/storage/common/azure-defender-storage- configure?tabs=azure-security-center
https://docs.microsoft.com/en-us/azure/security-center/workflow-automation

NEW QUESTION # 253
You have a Microsoft Sentine1 workspace that contains a custom workbook named Workbook1.
You need to create a visual in Workbook1 that will display the logon count for accounts that have logon event IDs of 4624 and 4634.
How should you complete the query? To answer, select the appropriate options in the answer area.
NOTE Each correct selection is worth one point.

Answer:

Explanation:

Explanation:
First dropdown: join
Second dropdown: full
In Microsoft Sentinel and Kusto Query Language (KQL), when you need to combine two tables based on a common field, you use the join operator. In this scenario, both queries pull from the same SecurityEvent table but filter on different Event IDs - 4624 for logon and 4634 for logoff events. To correlate or compare the two results by Account, you need to join them.
The first query returns the number of logon events per account (LogOnCount), while the second returns the number of logoff events per account (LogOffCount). The join key is Account, which exists in both result sets.
To ensure that all accounts - those who may have only logon events or only logoff events - are included in the visualization, you use a full join. A full join combines matching records from both sides and keeps unmatched records from either side, filling missing values with nulls. This ensures that every account with either a logon or a logoff count appears in the results.
Therefore, the correct query completion is:
SecurityEvent
| where EventID == "4624"
| summarize LogOnCount = count() by EventID, Account
| project LogOnCount, Account
| join kind = full (
SecurityEvent
| where EventID == "4634"
| summarize LogOffCount = count() by EventID, Account
| project LogOffCount, Account
) on Account
This query gives a complete view of all accounts and their corresponding logon/logoff counts.
# Correct selections:
* First box # join
* Second box # full

NEW QUESTION # 254
......

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