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Question 77

HOTSPOT

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You have a Microsoft 365 E5 subscription that contains the data loss prevention (DLP) policies shown in the following table.

You have a custom employee information form named Templatel.docx.

You plan to create a sensitive info type named Sensitive1 that will use the document fingerprint from Template1.docx.

What should you use to create Sensitive1, and in which DLP policies can you use Sensitive1? To answer, select the appropriate options in the answer area.

NOTE: Each correct selection is worth one point.

    Correct Answer:

Discussion
Ruslan23

Create Sensitive1 by using: Security & Compliance PowerShell (New-DlpSensitiveInformationType) https://learn.microsoft.com/en-us/purview/sit-document-fingerprinting#create-a-custom-sensitive-information-type-based-on-document-fingerprinting-using-powershell Use Sensitive1 in: DLP1, DLP2, DLP3

EM1234

The link clearly explains it can currently only be made in the sec and compliance powershell.

e6f184d

There is a button in the Sensitive Info Types blade of the Purview portal to create a Fingerprint-based SIT. So you can use either Powershell or the Purview portal.

Jo696

I am pretty sure this should be DLP1 and 2 only

nubemi

If we talk about DLP for Teams it means chat message not documents? So you cant apply sensitivity labels to teams messages.

e6f184d

DLP for Teams policies will include documents shared in a chat or a channel, the policy just needs to also have Sharepoint and OneDrive included - https://learn.microsoft.com/en-us/purview/dlp-microsoft-teams?tabs=purview

narenbabu.chintu

The answer is correct: Create sensitive 1 by using: Security & Compliance Power and User Sensitive 1 in DLP1, DLP2 and DLP3. It can be included in Teams location as well, when Finger print SIT is called in the conditions of the DLP policy, and saved, then a message can be seen: Conditions Content contains any of these sensitive info types: Sample_Fingerprint_SIT Evaluate predicate for Message or attachment Actions Send alerts to Administrator So incase of messages, it will evaluate predicate of messages.