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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Perform threat hunting | 20โ25% | - Hunt for threats across environments
|
| Topic 2: Manage security operations environment | 40โ45% | - Configure and manage Microsoft Sentinel workspace
|
| Topic 3: Respond to security incidents | 35โ40% | - Contain, eradicate, and recover
|
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NEW QUESTION # 296
You plan to connect an external solution that will send Common Event Format (CEF) messages to Azure Sentinel.
You need to deploy the log forwarder.
Which three actions should you perform in sequence? To answer, move the appropriate actions form the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Download and install the Log Analytics agent.
2 - Set the Log Analytics agent to listen on port 25226 and forware the CEF maessages to Azure Sentinel.
3 - Confiure the syslog deamon. Restart the syslog daemon and the Log Analytics agent.
Reference:
https://docs.microsoft.com/en-us/azure/sentinel/connect-cef-agent?tabs=rsyslog
NEW QUESTION # 297
You have a Microsoft 365 E5 subscription and a Microsoft Sentinel workspace. You need to create a KQL query that will combine data from the following sources:
* Microsoft Graph
* Risky users detected by using Microsoft Entra ID Protection
The solution must minimize the volume of data returned. How should the query start?
Answer: C
Explanation:
To combine Microsoft Graph activity logs with Microsoft Entra ID Protection risky users, while minimizing data volume, you use the lookup kind=leftouter operator.
Microsoft documentation explains:
"Use lookup (instead of join) when you need to enrich a large dataset with a small lookup table to minimize data returned."
* MicrosoftGraphActivityLogs provides user activity records.
* AADRiskyUsers lists users detected as risky by Entra ID Protection.
* A leftouter lookup ensures all Microsoft Graph activity entries are kept, while only matching risky user info is appended - reducing output volume compared to a full join.
# Correct answer: A. MicrosoftGraphActivityLogs lookup kind=leftouter AADRiskyUsers on $left.
UserId == $right.Id
NEW QUESTION # 298
You create a new Azure subscription and start collecting logs for Azure Monitor.
You need to configure Azure Security Center to detect possible threats related to sign-ins from suspicious IP addresses to Azure virtual machines. The solution must validate the configuration.
Which three actions should you perform in a sequence? To answer, move the appropriate actions from the list of action to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Enable Azure Defender for the subscription.
2 - Copy an executable file on a virtual machine and rename the file as ASC_AlertTest_662jfi039N.exe.
3 - Run the executable file and specify the appropriate arguments.
Reference:
https://docs.microsoft.com/en-us/azure/security-center/security-center-alert-validation
NEW QUESTION # 299
You have a Microsoft 365 subscription.
You have the devices shown in the following table.
All the devices are onboarded to Microsoft Defender for Endpoint.
You are investigating a potential malware exploit on the devices.
You need to review the system log of each device. The solution must minimize disruptions to the devices.
What should you do for each device first in the Microsoft Defender portal?
Answer: D
Explanation:
To investigate malware on a device with Defender for Endpoint, use the portal's device timeline for events, leverage Live Response to get deep system/log access (like Event Viewer/Process Monitor), run the Client Analyzer (MDECA) for rich logs, and then analyze those logs (PowerShell, WFP, AV) for malicious activity, correlating with portal alerts for the full attack story.
Note:
1. Start in the Microsoft Defender Portal (security.microsoft.com)
Locate the Device: Go to the "Devices" list and find the affected machine.
Review Device Timeline: Check the Timeline tab for a chronological view of events (process creations, network connections, file changes) and alerts.
Check Incidents/Alerts: Look at the Incidents & Alerts tab for related security events that Defender has already flagged.
*-> 2. Initiate Live Response for Deep Dive
Live Response: Select the device and initiate a Live Response session to get a remote shell (PowerShell or Command Prompt).
MDE Client Analyzer (MDECA): Within Live Response, upload and run the MDELiveAnalyzer.ps1 script (from the MDE Client Analyzer tool) to collect comprehensive sensor, AV, network (WFP), and process logs.
Collect Logs: Use Putfile and GetFile commands to pull the MDEClientAnalyzerResult.zip file to your local machine for analysis.
3. Analyze Collected Logs (on your analyst machine)
Reference:
https://learn.microsoft.com/en-us/defender-endpoint/troubleshoot-collect-support-log
NEW QUESTION # 300
You need to monitor the password resets. The solution must meet the Microsoft 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:
To monitor and detect higher-than-normal volumes of password resets, you need to gather password reset event data both from Azure Active Directory (cloud identities) and from on-premises Active Directory (domain accounts). Microsoft's official Defender XDR and Sentinel integration guidance describes that:
* Azure AD Password Protection enforces and monitors password policies in both cloud and hybrid environments. It can detect weak, commonly used, or compromised passwords and logs related password change/reset activities. Deploying Azure AD Password Protection extends password reset visibility to on-premises domain controllers through the Password Protection proxy and DC agent. This makes it the correct choice for implementing monitoring at the identity environment level.
* In Microsoft Sentinel, to ingest and analyze password reset activities from on-premises servers (e.g., domain controllers), you must use the Windows Security Events via AMA connector. This connector collects Event ID 4723 (password change), 4724 (password reset), and related security logs directly from Windows Servers into the Sentinel Log Analytics workspace through the Azure Monitor Agent (AMA). Once the events are available in Sentinel, they can be correlated with other identity or behavioral analytics to detect abnormal reset volumes or potential compromise attempts.
The other options are not suitable:
* Microsoft Defender for Identity focuses on identity compromise detection, not specifically on password reset volume monitoring.
* Smart lockout protects against brute-force sign-in attempts but doesn't generate detailed reset event telemetry.
* Microsoft security rule and UEBA are higher-level analytic configurations, not data ingestion mechanisms.
Therefore, to meet the Sentinel requirements for monitoring password reset anomalies:
# Implement in the identity environment: Azure AD Password Protection
# Configure in Microsoft Sentinel: The Windows Security Events via AMA connector
Topic 4, Misc. Questions
Fabrikam. Inc. is a financial services company
The company has branch offices in New York. London, and Singapore. Fabrikam has remote users located across the globe. The remote users access company resources, including cloud resources, by using a VPN connection to a branch office.
The network contains an Active Directory Domain Services (AD DS) forest named fabrikam.com that syncs with an Azure AD tenant named fabrikam.com. To sync the forest, Fabrikam uses Azure AD Connect with pass-through authentication enabled and password hash synchronization disabled.
The fabrikam.com forest contains two global groups named Group1 and Group2.
All the users at Fabrikam are assigned a Microsoft 365 E5 license and an Azure Active Directory Premium Plan 2 license. Fabrikam implements Microsoft Defender for Identity and Microsoft Defender for Cloud Apps and enables log collectors.
Fabrikam has an Azure subscription that contains the resources shown in the following table.
Fabrikam has an Amazon Web Services (AWS) account named Account1. Account1 contains 100 Amazon Elastic Compute Cloud (EC2) instances that run a custom Windows Server 2022. The image includes Microsoft SQL Server 2019 and does NOT have any agents installed.
When the users use the VPN connections. Microsoft 365 Defender raises a high volume of impossible travel alerts that are false positives. Defender for Identity raises a high volume of Suspected DCSync attack alerts that are false positives.
Fabrikam plans to implement the following services:
* Microsoft Defender for Cloud
* Microsoft Sentinel
Fabrikam identifies the following business requirements:
* Use the principle of least privilege, whenever possible.
# Minimize administrative effort.
Fabrikam identifies the following Microsoft Defender for Cloud Apps requirements:
* Ensure that impossible travel alert policies are based on the previous activities of each user.
* Reduce the amount of impossible travel alerts that are false positives.
Minimize the administrative effort required to investigate the false positive alerts.
Fabrikam identifies the following Microsoft Defender for Cloud requirements:
* Ensure that the members of Group2 can modify security policies.
* Ensure that the members of Group1 can assign regulatory compliance policy initiatives at the Azure subscription level.
* Automate the deployment of the Azure Connected Machine agent for Azure Arc-enabled servers to the existing and future resources of Account1.
* Minimize the administrative effort required to investigate the false positive alerts.
Fabrikam identifies the following Microsoft Sentinel requirements:
* Query for NXDOMAIN DNS requests from the last seven days by using built-in Advanced Security Information Model (ASIM) unifying parsers.
* From AWS EC2 instances, collect Windows Security event log entries that include local group membership changes.
* Identify anomalous activities of Azure AD users by using User and Entity Behavior Analytics (UEBA).
* Evaluate the potential impact of compromised Azure AD user credentials by using UEBA.
* Ensure that App1 is available for use in Microsoft Sentinel automation rules.
* Identify the mean time to triage for incidents generated during the last 30 days.
* Identify the mean time to close incidents generated during the last 30 days.
* Ensure that the members of Group1 can create and run playbooks.
* Ensure that the members of Group1 can manage analytics rules.
* Run hunting queries on Pool! by using Jupyter notebooks.
* Ensure that the members of Group2 can manage incidents.
* Maximize the performance of data queries.
* Minimize the amount of collected data.
NEW QUESTION # 301
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