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Microsoft SC-200: Microsoft Security Operations Analyst exam is an essential certification for professionals who are interested in pursuing a career in the field of security operations. It is a globally recognized certification that demonstrates the candidate's competence and expertise in managing, detecting, and responding to security threats. It is a valuable asset for professionals who want to advance their career and stay up-to-date with the latest security practices.
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Microsoft SC-200 exam is a challenging exam that requires extensive knowledge and experience in security operations. It is highly recommended that candidates have at least two years of experience in security operations and knowledge of Microsoft technologies such as Azure, Windows, and Office 365. Taking SC-200 Exam and earning the certification is a valuable asset for security professionals who want to advance their career and demonstrate their expertise in securing the Microsoft environment.
NEW QUESTION # 308
You use Microsoft Sentinel.
You need to receive an alert in near real-time whenever Azure Storage account keys are enumerated. Which two actions should you perform? Each correct answer presents part of the solution. NOTE: Each correct selection is worth one point
Answer: B,C
Explanation:
In Microsoft Sentinel, to receive near real-time alerts when specific activities occur-such as Azure Storage account key enumeration-you combine two Sentinel capabilities: Livestream and Analytics rules
.
* Livestream provides real-time monitoring of events based on KQL queries. According to Microsoft Sentinel documentation, Livestream "lets you run queries continuously and get notified immediately when results match specific conditions." This allows SOC analysts to detect ongoing attacks (such as credential enumeration) as they happen.
* Analytics rules provide ongoing automated monitoring and alerting. A scheduled analytics rule runs periodically (for example, every 5 minutes) and generates an alert when a defined condition is met. The
"Storage account keys enumerated" event comes from Microsoft Defender for Cloud (or Azure Activity) logs, so you can define a KQL-based rule to detect these activities.
Therefore:
* B (Analytics rule): to automatically generate alerts when the condition is met.
* C (Livestream): to receive those alerts or detections in near real-time as they occur.
Together, these meet the requirement for near real-time detection and alerting with minimal manual monitoring.
NEW QUESTION # 309
You need to use an Azure Sentinel analytics rule to search for specific criteria in Amazon Web Services (AWS) logs and to generate incidents.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Add the Amazon Web Services connector
2 - From Analytics in Azure Sentinel, create a custom analytics rule that use a scheduled query
3 - Set the alert logic
Reference:
https://docs.microsoft.com/en-us/azure/sentinel/detect-threats-custom
NEW QUESTION # 310
You have a Microsoft Sentinel workspace that contains the following Advanced Security Information Model (ASIM) parsers:
* _Im_ProcessCreate
* InProceessCreate
You create a new source-specific parser named vimProcessCreate.
You need to modify the parsers to meet the following requirements:
* Call all the ProcessCreate parsers.
* Standardize fields to the Process schema.
Which parser should you modify to meet each requirement? To answer, drag the appropriate parsers to the correct requirements. tach parser 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.
NOTE Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Microsoft Sentinel uses the Advanced Security Information Model (ASIM) to normalize logs into a consistent schema, enabling unified queries, analytics rules, and hunting queries across multiple data sources.
Each ASIM function has a structured parser hierarchy , typically consisting of:
* A master (or orchestrator) parser , which aggregates and calls all source-specific parsers.
* Source-specific parsers , which map raw data from each data source (like Windows SecurityEvents, Sysmon, or custom logs) to the ASIM schema fields.
In the case of ProcessCreate events:
* _Im_ProcessCreate is the master parser . Its role is to call all ProcessCreate parsers , including both built-in and custom ones (for example, imProcessCreate , vimProcessCreate , or other vendor-specific parsers).
* Parsers like imProcessCreate (for native sources) and vimProcessCr eate (for custom or vendor-specific sources) are source-specific parsers . They are responsible for standardizing and mapping raw fields into the ASIM Process schema , ensuring consistent naming such as ActorProcessName , TargetProcessName , and TargetProcessC ommandLine .
Based on Microsoft's ASIM documentation: "The _Im_ functions are orchestrators that call all source- specific parsers. Each im or vim parser converts native data into the ASIM schema for its respective source." Therefore:
* To call all ProcessCrea te parsers , modify _Im_ProcessCreate .
* To standardize fields to the Process schema , modify vimProcessCreate (the new source-specific parser you created).
# Final Answers:
* Call all the ProcessCreate parsers: _Im_ProcessCreate
* Standardize fields to the Proces s schema: vimProcessCreate
NEW QUESTION # 311
You have a Microsoft 365 E5 subscription.
You plan to perform cross-domain investigations by using Microsoft 365 Defender.
You need to create an advanced hunting query to identify devices affected by a malicious email attachment.
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:
In Microsoft 365 Defender advanced hunting, email attachments are recorded in EmailAttachmentInfo and endpoint file activity is recorded in DeviceFileEvents. To correlate a malicious attachment to devices where the same file was observed, you join on the file hash (SHA256). The hunting guidance specifies using EmailAttachmentInfo to filter by sender and to ensure the attachment has a hash (isnotempty(SHA256)).
Then, a join with DeviceFileEvents on SHA256 links the email-borne file to endpoint observations.
Before joining, it's best practice to reduce the right-hand dataset with project to only needed fields (e.g., FileName, SHA256, DeviceName, DeviceId, Timestamp) to improve performance and limit data volume.
After the join, use project again to shape the final result set for investigation, including timeline and pivot identifiers: Timestamp, FileName, SHA256, DeviceName, DeviceId, plus email context such as NetworkMessageId, SenderFromAddress, and RecipientEmailAddress.
Therefore, the correct operator sequence is: join (subquery over DeviceFileEvents with project) on SHA256, then final project of the incident-relevant columns.
NEW QUESTION # 312
You have 500 on-premises Windows 11 devices that use Microsoft Defender for Endpoint You enable Network device discovery.
You need to create a hunting query that will identify discovered network devices and return the identity of the onboarded device that discovered each network device.
Which built-in function should you use?
Answer: B
Explanation:
In Microsoft Defender for Endpoint advanced hunting, when Network device discovery is enabled, onboarded devices can detect other devices on the same network. To build a hunting query that identifies discovered network devices and shows which onboarded device discovered each, you use the SeenBy() built- in function.
Microsoft's official Defender XDR KQL function documentation explains:
"The SeenBy() function returns the list of devices that have observed the entity (for example, IP address, URL, or network device). This function is typically used to correlate discovered devices with the onboarded devices that detected them." For example, you can write:
DeviceNetworkInfo
| where NetworkDeviceRole == "Discovered"
| extend DiscoveringDevice = SeenBy()
This function effectively maps the discovered asset to the detecting (onboarded) device.
Other options are not applicable:
* current_cluster,endpoint() - not a valid Defender hunting function.
* DeviceFromIP() - resolves IP addresses to onboarded devices but does not show which device discovered another.
* next() - a general KQL operator for sequencing data, not for correlating network discovery events.
Therefore, to identify discovered network devices and the discovering endpoints, the correct built-in function is SeenBy().
NEW QUESTION # 313
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