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| Section | Weight | Objectives |
|---|---|---|
| Mitigate threats using Microsoft Defender for Cloud Apps | 20-25% | - Hunt threats using Cloud Apps data
|
| Mitigate threats using Microsoft Defender for Identity | 15-20% | - Investigate and respond to identity threats
|
| Mitigate threats using Microsoft 365 Defender | 25-30% | - Configure Microsoft 365 Defender settings
|
| Mitigate threats using Microsoft Defender for Endpoint | 25-30% | - Manage devices and monitor threats
|
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NEW QUESTION # 284
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 Defender, you modify the search criteria of the audit search to reduce the number of returned records, and then you export the results. From Excel, you perform the Get & Transform Data operations by using the new export.
Does this meet the requirement?
Answer: B
NEW QUESTION # 285
You have a Microsoft 365 subscription that contains three users named User1. User2 and User3 and the resources shown in the following table.
You have a Microsoft Defender XDR detection rule named Rule1 that has the following configurations:
* Scope: DevGroup1
* File hash: File1.exe
* Actions
o Devices: Collect investigation package
o User: Mark as compromised o Files: Block
Each user attempts to run File1.exe on their device.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 286
You have a Microsoft 365 E5 subscription that contains a device named Device1. From the Microsoft Defender portal, you discover that an alert was triggered for Device1. From the Device inventory page, you isolate Device1. You need to collect a list of installed programs on Device1. What should you do?
Answer: A
Explanation:
The DeviceTvmSoftwareInventory table in Microsoft Defender XDR advanced hunting contains detailed information about installed applications, software versions, publishers, and installation details across onboarded endpoints. When you need to retrieve a list of installed programs for a specific device (like Device1), this is the correct table to query.
Microsoft documentation describes this table as:
"The DeviceTvmSoftwareInventory table provides a comprehensive inventory of all software discovered on devices, including version and vendor information." DeviceTvmInfoGathering contains vulnerability assessment and scan status details, not software lists.
DeviceProcessEvents captures process execution data (runtime events).
Live response processes command lists currently running processes, not all installed software.
# Correct Answer: C. DeviceTvmSoftwareInventory
NEW QUESTION # 287
You have an Azure Sentinel deployment.
You need to query for all suspicious credential access activities.
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:
Explanation:
NEW QUESTION # 288
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 # 289
......
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