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NEW QUESTION # 282
HOTSPOT
You need to meet the technical requirements for the confidential documents.
What should you create first, and what should you use for the detection method? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
A screenshot of a computer AI-generated content may be incorrect.
To detect and protect confidential documents, we need a custom rule to identify project codes that start with
999 (since they are classified as confidential).
Box 1: A Sensitive Info Type (SIT) allows Microsoft Purview DLP policies to recognize structured data (e.g., project codes). DLP policies require a sensitive info type to detect content based on patterns, keywords, or dictionary terms. A sensitivity label alone does not define detection logic-it is used for classification and protection after content is identified.
Box 2: Since project codes follow a structured 10-digit pattern, we should use a Regular Expression (Regex) to match project codes that start with 999.
Example Regex pattern:
999\d{7}
This pattern detects a 10-digit number starting with "999".
NEW QUESTION # 283
You have a Microsoft 365 E5 subscription.
You have a Microsoft SharePoint Online document library that contains Microsoft Word and Excel documents. The documents contain the following types of information:
- Credit card numbers
- Physical addresses in the UK
- National health service numbers from the UK
- Sensitive projects that contain the following words: Project
Tailspin, Project Contoso, and Project Falcon
You have email messages in Microsoft Exchange Online that contain the following information types:
- Credit card numbers
- User sign-in credentials
- National health service numbers from the UK
You plan to use sensitive information types (SITs) for compliance policies.
What is the minimum number of SITs required to classify all the information types?
Answer: C
Explanation:
* In Documents: Sensitive projects that contain the following words: Project Tailspin, Project Contoso, and Project Falcon - One SIT
* In documents: Physical addresses in the UK - one SIT
* Credit card numbers in documents and emails - one SIT
a single sensitive information type for credit card numbers can be applied to both documents and emails, often as part of a data loss prevention (DLP) or sensitivity labeling system in Microsoft
365 and other platforms. These systems can automatically detect credit card numbers within documents and emails and then apply predefined sensitivity labels that enforce security policies, such as encryption or access restrictions, for both types of content.
* User sign-in credentials in emails - one SIT
* National health service numbers from the UK in documents and emails - one SIT A single sensitive information type classification, such as for UK National Health Service (NHS) numbers, can be applied to both documents and emails, typically by using a data loss prevention (DLP) or sensitivity labelling system within Microsoft 365 or NHSmail. This allows a uniform policy to detect and protect NHS numbers whether they appear in a Word document or an email, ensuring consistent security protocols across different data formats within the NHS environment.
Reference:
https://learn.microsoft.com/en-us/purview/sit-sensitive-information-type-learn-about
NEW QUESTION # 284
HOTSPOT
You have a Microsoft 365 E5 subscription that uses Microsoft Purview and just-in-time (JIT) protection. The subscription contains the users shown in the following table.
The subscription contains the devices shown in the following table.
The devices contain the files 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.
Answer:
Explanation:
Explanation:
Statement 1 - No. User1 is included in JIT protection. File1.docx is on Device1, which is onboarded to Microsoft Defender. However, File1.docx has not been evaluated for file classification, meaning JIT cannot enforce protection on it. If User2 signs in to Device2 and attempts to attach File2.pdf to an email, JIT will block the action.
Statement 2 - No. User2 is not configured for JIT protection (JIT does not apply to them). File2.pdf has been evaluated for classification, but since User2 is not included in JIT protection, no blocking occurs. If User3 attempts to copy File3.xlsx to a network share, JIT will generate an audit event.
Statement 3 - No. User3 is included in JIT protection. However, Device3 is not onboarded to Microsoft Defender, meaning JIT protection cannot enforce actions on it. File3.xlsx has not been evaluated, so even if the device were onboarded, JIT would not have classification data to act upon.
NEW QUESTION # 285
You have a Microsoft 365 E5 subscription. The subscription contains 500 Windows devices that are onboarded to Microsoft Purview.
You need to prevent users from sharing sensitive information with third-party generative AI websites.
Which Microsoft Purview solution should you use?
Answer: D
Explanation:
Considerations for DSPM for AI to manage data security and compliance protections for AI interactions To prevent users from sharing sensitive information with third-party generative AI websites when Windows devices are onboarded to Microsoft Purview, you can configure Data Loss Prevention (DLP) policies. These policies allow you to restrict access to specific service domains and block file uploads or sensitive data sharing with those domains.
Reference:
https://learn.microsoft.com/en-us/purview/dspm-for-ai-considerations
NEW QUESTION # 286
DRAG DROP
You need to create a trainable classifier that can be used as a condition in an auto-apply retention label policy.
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:
To create a trainable classifier that can be used in an auto-apply retention label policy, you need to follow these key steps:
1. Create the trainable classifier
This is the first step where you define the classifier, specifying the types of content it should identify.
2. Test the trainable classifier
Before using the classifier in production, you need to validate its accuracy by testing it against sample documents to ensure it correctly classifies the intended data.
3. Publish the trainable classifier
Once testing is successful, you must publish the classifier so that it can be used in policies like auto-apply retention labels in Microsoft Purview.
NEW QUESTION # 287
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