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| Section | Weight | Objectives |
|---|---|---|
| Mitigate threats using Microsoft Defender for Cloud | 25-30% | - Respond to cloud security incidents
|
| Mitigate threats using Microsoft 365 Defender | 25-30% | - Configure Microsoft 365 Defender environment
|
| Mitigate threats using Microsoft Sentinel | 40-45% | - Automate response and orchestration
|
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292. Frage
You have the following SQL query.
Antwort:
Begründung:
Explanation:
293. Frage
Hotspot Question
You have a Microsoft Sentinel workspace that has a default data retention period of 30 days. The workspace contains two custom tables as shown in the following table.
Each table ingested two records per day during the past 365 days.
You build KQL statements for use in analytic rules as shown in the following table.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
294. Frage
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 Excel, you apply filters to the existing columns in Filel.csv to reduce the number of rows, and then you perform the Get & Transform Data operations to parse the AuditData column.
Does this meet the requirement?
Antwort: B
Begründung:
This solution also does not meet the requirement. Applying filters to the already-imported worksheet rows in Excel (or attempting to reduce rows in the workbook UI) does not change how Power Query initially samples and infers the JSON schema during the Get & Transform steps. Power Query's schema detection typically happens on a preview/sample of the source data when the query is first evaluated. If the JSON property you need does not appear in that sampled subset, Power Query will not create a column for it even if you later filter the data to include rows that do contain that property. In short, post-export filtering in Excel is not a reliable way to force Power Query to detect and expand missing JSON properties.
The reliable approaches are to increase the number of rows Power Query uses for schema detection (Query Options / Data Load / preview/sample settings) or to explicitly parse each AuditData cell with JSON.
Document (or equivalent M functions) and then expand the record fields-these approaches ensure the specific JSON properties are surfaced as columns. Reducing rows via Excel filters does not address the sampling/schema-detection behavior and therefore fails to satisfy the requirement.
295. Frage
Case Study 4 - Litware Inc
Overview
Adatum Corporation is a United States-based financial services company that has regional offices in New York, Chicago, and San Francisco.
Existing Environment
Identity Environment
The on-premises network contains an Active Directory Domain Services (AD DS) forest named corp.adatum.com that syncs with an Azure AD tenant named adatum.com. All user and group management tasks are performed in corp.adatum.com. The corp.adatum.com domain contains a group named Group1 that syncs with adatum.com.
Licensing Status
All the users at Adatum are assigned a Microsoft 365 ES license and an Azure Active Directory Premium P2 license.
Cloud Environment
The cloud environment contains a Microsoft 365 subscription, an Azure subscription linked to the adatum.com tenant, and the resources shown in the following table.
On-premises Environment
The on-premises network contains the resources shown in the following table.
Requirements
Planned changes
Adatum plans to perform the following changes:
- Implement a query named rulequery1 that will include the following KQL query.
- Implement a Microsoft Sentinel scheduled rule that generates incidents based on rulequery1.
Microsoft Defender for Cloud Requirements
Adatum identifies the following Microsoft Defender for Cloud requirements:
- The members of Group1 must be able to enable Defender for Cloud plans and apply regulatory compliance initiatives.
- Microsoft Defender for Servers Plan 2 must be enabled on all the Azure virtual machines.
- Server2 must be excluded from agentless scanning.
Microsoft Sentinel Requirements
Adatum identifies the following Microsoft Sentinel requirements:
- Implement an Advanced Security Information Model (ASIM) query that will return a count of DNS requests that results in an NXDOMAIN response from Infoblox1.
- Ensure that multiple alerts generated by rulequery1 in response to a single user launching Azure Cloud Shell multiple times are consolidated as a single incident.
- Implement the Windows Security Events via AMA connector for Microsoft Sentinel and configure it to monitor the Security event log of Server1.
- Ensure that incidents generated by rulequery1 are closed automatically if Azure Cloud Shell is launched by the company's SecOps team.
- Implement a custom Microsoft Sentinel workbook named Workbook1 that will include a query to dynamically retrieve data from Webapp1.
- Implement a Microsoft Sentinel near-real-time (NRT) analytics rule that detects sign-ins to a designated break glass account.
- Ensure that HuntingQuery1 runs automatically when the Hunting page of Microsoft Sentinel in the Azure portal is accessed.
- Ensure that higher than normal volumes of password resets for corp.adatum.com user accounts are detected.
- Minimize the overhead associated with queries that use ASIM parsers.
- Ensure that the Group1 members can create and edit playbooks.
- Use built-in ASIM parsers whenever possible.
Business Requirements
Adatum identifies the following business requirements:
- Follow the principle of least privilege whenever possible.
- Minimize administrative effort whenever possible.
Hotspot Question
You need to implement the query for Workbook1 and Webapp1. The solution must meet the Microsoft Sentinel requirements.
How should you configure the query? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
Explanation:
https://learn.microsoft.com/en-us/azure/azure-monitor/visualize/workbooks-data-sources#custom-endpoint
296. Frage
You have a Microsoft Sentinel workspace that has a default data retention period of 30 days. The workspace contains two custom tables as shown in the following table.
Each table ingested two records per day during the past 365 days.
You build KQL statements for use in analytic rules as shown in the following table.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Antwort:
Begründung:
297. Frage
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