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NEW QUESTION # 197
Hotspot Question
You have a Microsoft 365 E5 subscription.
You create an adaptive scope named Scope1 as shown in the following exhibit.
You create a retention policy named Policy1 that includes Scope1.
To which three locations can you apply Policy1? To answer select the appropriate locations in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
A retention policy with an adaptive scope defined by the Microsoft 365 Groups type can be applied to Exchange email, SharePoint sites, and OneDrive accounts. However, the scope is most effective when applied to locations that are a part of the Microsoft 365 Group, such as the group's mailbox (Exchange email) and the group's associated SharePoint site, which includes its OneDrive for Business account.
Box 1: Exchange email
Box 2: SharePoint sites
Box 3: OneDrive accounts
How it works
Adaptive Scopes: These scopes are dynamic filters that automatically identify target locations for a retention policy.
Group Type Scope: When you use the "Microsoft 365 Groups" scope type, it targets content associated with a group, which includes:
The group's mailbox in Exchange.
The group's associated SharePoint site.
The group's associated OneDrive for Business account.
Application: The policy is automatically applied to all users and sites within the group, making it a scalable solution for managing retention across the group's entire ecosystem.
Flexibility: This is particularly useful for organizations where group membership and content locations change frequently, as the policy automatically adapts to these changes.
Reference:
https://learn.microsoft.com/en-us/purview/purview-adaptive-scopes
NEW QUESTION # 198
You have a Microsoft 365 E5 subscription that contains a trainable classifier named Trainable1.
You plan to create the items shown in the following table.
Which items can use Trainable 1?
Answer: A
Explanation:
A trainable classifier in Microsoft Purview is used to automatically identify and classify unstructured data based on content patterns. The classifier can be used in:
1. Retention Labels (Label2) → Supported
*Trainable classifiers can be linked to retention labels to automatically classify and apply retention policies to documents.
2. Retention Label Policies (Policy1) → Supported
*Retention label policies define how and where retention labels are applied, including automatically using trainable classifiers.
3. Data Loss Prevention (DLP) Policies (DLP1) → Supported
*Trainable classifiers can be used in DLP policies to detect and protect sensitive content automatically.
NEW QUESTION # 199
DRAG DROP
You have a Microsoft 365 subscription that contains 20 data loss prevention (DLP) policies.
You need to identify the following:
# Rules that are applied without triggering a policy alert
# The top 10 files that have matched DLP policies
# Alerts that are miscategorized
Which report should you use for each requirement? To answer, drag the appropriate reports to the correct requirements. Each report may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The False positive and override report helps identify rules that were applied but did not generate an actual policy alert, which means they were overridden or deemed false positives.
The DLP policy matches report provides details on files that matched DLP policies, including the top 10 files.
The Incident reports report helps analyze and review alerts, including those that may have been miscategorized.
NEW QUESTION # 200
You create a retention label that has a retention period of seven years.
You need to ensure that documents containing a credit card number are retained for seven years. Other documents must not be retained.
What should you create?
Answer: B
NEW QUESTION # 201
You have a Microsoft SharePoint Online site named Site1 that contains a document library. The library contains more than 1,000 documents. Some of the documents are job applicant resumes.
All the documents are in the English language.
You plan to apply a sensitivity label automatically to any document identified as a resume. Only documents that contain work experience, education, and accomplishments must be labeled automatically.
You need to identify and categorize the resumes. The solution must minimize administrative effort.
What should you include in the solution?
Answer: A
Explanation:
Since you need to automatically apply a sensitivity label to resumes based on their content and structure (work experience, education, accomplishments), a trainable classifier is the best choice.
Trainable classifiers use machine learning to identify unstructured data, such as resumes, contracts, or legal documents. Instead of relying on predefined patterns (like keywords or regular expressions), a trainable classifier learns from sample documents and can accurately identify resumes even if they are formatted differently.
Final Approach:
- Train a trainable classifier using sample resumes.
- Deploy the classifier in Microsoft Purview.
- Configure a sensitivity label to be automatically applied when a
document matches the classifier.
NEW QUESTION # 202
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