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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Mitigate threats using Microsoft Defender for Cloud | 25-30% | - Configure cloud security posture management
|
| Topic 2: Mitigate threats using Microsoft 365 Defender | 25-30% | - Investigate and respond to threats
|
| Topic 3: Mitigate threats using Microsoft Sentinel | 40-45% | - Configure Microsoft Sentinel
|
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NEW QUESTION # 323
Your company stores the data for every project in a different Azure subscription. All the subscriptions use the same Azure Active Directory (Azure AD) tenant.
Every project consists of multiple Azure virtual machines that run Windows Server. The Windows events of the virtual machines are stored in a Log Analytics workspace in each machine's respective subscription.
You deploy Azure Sentinel to a new Azure subscription.
You need to perform hunting queries in Azure Sentinel to search across all the Log Analytics workspaces of all the subscriptions.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,D
Explanation:
Explanation/Reference:
https://docs.microsoft.com/en-us/azure/sentinel/extend-sentinel-across-workspaces-tenants
NEW QUESTION # 324
You have a Microsoft 365 subscription. The subscription uses Microsoft 365 Defender and has data loss prevention (DLP) policies that have aggregated alerts configured.
You need to identify the impacted entities in an aggregated alert.
What should you review in the DIP alert management dashboard of the Microsoft Purview compliance portal?
Answer: A
NEW QUESTION # 325
Hotspot Question
You have a Microsoft Sentinel workspace that ingests endpoint process events into a Log Analytics workspace.
You need to create a hunting query that identifies suspicious, rarely seen processes on Windows devices. The solution must meet the following requirements:
- Return the 20 least common process names observed during the last 24
hours.
- Exclude a list of approved administrative tools.
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:
NEW QUESTION # 326
You have a Microsoft Sentinel workspace named sws1.
You need to create a hunting query to identify users that list storage keys of multiple Azure Storage accounts.
The solution must exclude users that list storage keys for a single storage account.
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:
Box 1: AzureActivity
The AzureActivity table includes data from many services, including Microsoft Sentinel. To filter in only data from Microsoft Sentinel, start your query with the following code:
Box 2: autocluster()
Example: description: |
'Listing of storage keys is an interesting operation in Azure which might expose additional secrets and PII to callers as well as granting access to VMs. While there are many benign operations of this type, it would be interesting to see if the account performing this activity or the source IP address from which it is being done is anomalous.
The query below generates known clusters of ip address per caller, notice that users which only had single operations do not appear in this list as we cannot learn from it their normal activity (only based on a single event). The activities for listing storage account keys is correlated with this learned clusters of expected activities and activity which is not expected is returned.' AzureActivity
| where OperationNameValue =~ "microsoft.storage/storageaccounts/listkeys/action"
| where ActivityStatusValue == "Succeeded"
| join kind= inner (
AzureActivity
| where OperationNameValue =~ "microsoft.storage/storageaccounts/listkeys/action"
| where ActivityStatusValue == "Succeeded"
| project ExpectedIpAddress=CallerIpAddress, Caller
| evaluate autocluster()
) on Caller
| where CallerIpAddress != ExpectedIpAddress
| summarize StartTime = min(TimeGenerated), EndTime = max(TimeGenerated), ResourceIds = make_set (ResourceId), ResourceIdCount = dcount(ResourceId) by OperationNameValue, Caller, CallerIpAddress
| extend timestamp = StartTime, AccountCustomEntity = Caller, IPCustomEntity = CallerIpAddress Reference: https://github.com/Azure/Azure-Sentinel/blob/master/Hunting%20Queries/AzureActivity
/Anomalous_Listing_Of_Storage_Keys.yaml
NEW QUESTION # 327
You need to visualize Azure Sentinel data and enrich the data by using third-party data sources to identify indicators of compromise (IoC).
What should you use?
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/sentinel/notebooks
NEW QUESTION # 328
......
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