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Microsoft SC-200 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Respond to security incidents	35–40%	- Automate incident response 1. Configure automation rules 2. Create playbooks in Microsoft Sentinel 3. Use security Copilot for response - Contain, eradicate, and recover 1. Restore systems and data 2. Remove malicious artifacts 3. Apply containment measures - Triage and classify incidents 1. Prioritize incidents based on severity and impact 2. Investigate alerts and evidence 3. Determine scope and root cause
Topic 2: Manage security operations environment	40–45%	- Configure Microsoft Defender XDR 1. Configure settings and policies 2. Enable and integrate services 3. Manage alerts and incidents - Configure and manage Microsoft Sentinel workspace 1. Configure logging and retention 2. Configure data connectors 3. Design workspace architecture 4. Manage roles and permissions - Integrate with other Microsoft security services 1. Microsoft Entra ID Protection 2. Microsoft Purview 3. Microsoft Defender for Cloud
Topic 3: Perform threat hunting	20–25%	- Hunt for threats across environments 1. Hunt in cloud and hybrid environments 2. Hunt in Microsoft Sentinel 3. Hunt in Microsoft Defender XDR - Plan and prepare threat hunts 1. Define hunting hypotheses 2. Work with hunting bookmarks and livestreams 3. Use Kusto Query Language (KQL) - Analyze and report hunting results 1. Create detections from hunting results 2. Document findings 3. Share intelligence with teams

Section

Weight

Objectives

Topic 1: Respond to security incidents

35–40%

- Automate incident response

1. Configure automation rules
2. Create playbooks in Microsoft Sentinel
3. Use security Copilot for response

- Contain, eradicate, and recover

1. Restore systems and data
2. Remove malicious artifacts
3. Apply containment measures

- Triage and classify incidents

1. Prioritize incidents based on severity and impact
2. Investigate alerts and evidence
3. Determine scope and root cause

Topic 2: Manage security operations environment

40–45%

- Configure Microsoft Defender XDR

1. Configure settings and policies
2. Enable and integrate services
3. Manage alerts and incidents

- Configure and manage Microsoft Sentinel workspace

1. Configure logging and retention
2. Configure data connectors
3. Design workspace architecture
4. Manage roles and permissions

- Integrate with other Microsoft security services

1. Microsoft Entra ID Protection
2. Microsoft Purview
3. Microsoft Defender for Cloud

Topic 3: Perform threat hunting

20–25%

- Hunt for threats across environments

1. Hunt in cloud and hybrid environments
2. Hunt in Microsoft Sentinel
3. Hunt in Microsoft Defender XDR

- Plan and prepare threat hunts

1. Define hunting hypotheses
2. Work with hunting bookmarks and livestreams
3. Use Kusto Query Language (KQL)

- Analyze and report hunting results

1. Create detections from hunting results
2. Document findings
3. Share intelligence with teams

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Microsoft Security Operations Analyst Sample Questions (Q103-Q108):

NEW QUESTION # 103
You need to build a KQL query in a Microsoft Sentinel workspace. The query must return the SecurityEvent record for accounts that have the last record with an EventID value of 4624. How should you complete the query ' To answer, select the appropriate options in the answer area.
NOTE: Each coned selection is worth one point

Answer:

Explanation:

Explanation:

SecurityEvent
| where EventID == 4624
| summarize arg_max(TimeGenerated, *) by Account
Comprehensive and Detailed Explanation with all Microsoft Security Operations (SecOps) documents: = This query is designed for Microsoft Sentinel (Log Analytics) to identify the latest successful logon (Event ID
4624) for each account. Event ID 4624 in the SecurityEvent table indicates a successful logon in Windows security logs.
Let's break down the logic step-by-step:
| where EventID == 4624
This line filters the SecurityEvent table to include only records that correspond to successful logon events.
Filtering first ensures that only relevant events are processed by the summarization step, improving performance and accuracy.
| summarize arg_max(TimeGenerated, *) by Account
The arg_max() aggregation function retrieves the record that has the maximum value of TimeGenerated for each Account.
The * symbol ensures that all columns from that most recent record are returned (not just TimeGenerated and Account).
In this context, this means we get the most recent 4624 logon event per user account.
Why this order matters:
If arg_max() is placed before the where clause, the summarization would occur over all events first, not just
4624, producing incorrect results.
Therefore, the correct logical order is to filter first (where EventID == 4624), and then summarize (arg_max (TimeGenerated, *) by Account).
Alternative incorrect options explained:
summarize make_list(Account) or make_set(Account) by EventID # These aggregate account names for each EventID, not the most recent event per account.
Placing where EventID == 4624 after summarize # Filters after aggregation, which won't return correct results per account.

NEW QUESTION # 104
Hotspot Question
You have an Azure subscription.
You have a Microsoft Sentinel workbook that contains the following text parameters:
- text1
- grouptime1
You need to display the count of security alerts. The count must be filtered based on the text1 parameter and grouped by the grouptime1 parameter.
How should you complete the KOL query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

NEW QUESTION # 105
You have an Azure subscription that has Azure Defender enabled for all supported resource types.
You create an Azure logic app named LA1.
You plan to use LA1 to automatically remediate security risks detected in Azure Security Center.
View the window
You need to test LA1 in Security Center.
What should you do? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:

Explanation:

Reference:
https://docs.microsoft.com/en-us/azure/security-center/workflow-automation#create-a-logic-app-and-define-when-it-should-automatically-run

NEW QUESTION # 106
You have an Azure subscription linked to an Azure Active Directory (Azure AD) tenant. The tenant contains two users named User1 and User2.
You plan to deploy Azure Defender.
You need to enable User1 and User2 to perform tasks at the subscription level as shown in the following table.

The solution must use the principle of least privilege.
Which role should you assign to each user? To answer, drag the appropriate roles to the correct users. Each role may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.

Answer:

Explanation:

.
Reference:
https://docs.microsoft.com/en-us/azure/defender-for-cloud/permissions

NEW QUESTION # 107
You have an Azure subscription that contains a Log Analytics workspace named Workspace1.
You configure Azure activity logs and Microsoft Entra ID logs to be forwarded to Workspace1.
You need to identify which Azure resources have been queried or modified by risky users.
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:
Table to start from: MicrosoftGraphActivityLogs
Function to extract the path: parse_url(RequestUri).Path
To find which Azure resources were queried or modified by risky users, you should analyze API calls made to Microsoft Graph (and ARM where applicable) and join them with Identity Protection risk signals.
In Log Analytics, MicrosoftGraphActivityLogs records Graph API calls with useful fields for this task, including UserId, RequestUri, RequestMethod, ResponseStatusCode, and RequestId. These fields let you identify what resource endpoint was accessed, how (GET/POST/PATCH/DELETE), and whether the request succeeded.
You then join these API events with AADRiskyUsers on the user identifier ($left.UserId == $right.Id) to restrict results to users currently assessed as risky. To normalize the resource that was targeted, parse the endpoint from the full URL. The correct way is to extract just the path component using parse_url (RequestUri).Path, then clean version segments (e.g., /v1.0/, /beta/) with replace_string/replace_regex to produce a comparable resourcePath. Finally, summarizing with dcount(RequestId) by UserId, RiskState, resourcePath, RequestMethod, and ResponseStatusCode yields a concise mapping of which resources risky users queried or modified.
Therefore, the two correct choices are MicrosoftGraphActivityLogs and parse_url(RequestUri).Path.

NEW QUESTION # 108
......

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