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| Section | Weight | Objectives |
|---|---|---|
| Manage operational security in Microsoft 365 | 20-25% | - Configure Microsoft Defender for Cloud Apps - Implement Microsoft Defender for Endpoint - Configure alert policies and threat detection - Manage security dashboards and reporting - Investigate security incidents and alerts |
| Manage identity and access in Microsoft Entra ID | 20-25% | - Configure conditional access policies - Manage identity protection - Implement privileged identity management - Manage authentication and authorization policies - Configure access reviews and governance |
| Implement and maintain security compliance in Microsoft Purview | 20-25% | - Manage compliance policies in Microsoft Purview - Create and manage data loss prevention (DLP) policies - Manage eDiscovery and content search - Manage unified endpoint management (UEM) with Microsoft Purview - Manage Insider Risk Management in Microsoft Purview |
| Implement and manage Microsoft Sentinel | 25-30% | - Implement threat hunting - Configure automation and SOAR capabilities - Manage incidents and investigations - Implement workbooks and analytics - Configure Microsoft Sentinel workspace - Create and manage detection rules |
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NEW QUESTION # 28
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 # 29
Hotspot Question
You have a Microsoft 365 E5 subscription that contains the sensitive information types (SITs) shown in the following table.
A user sends the email messages 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:
Box 1: Yes
Prd:1234 will match the regular expression of SIT1.
Box 2: Yes
111-111-1111 will match the exclusion of SIT2.
However, 123456789012 will match the regular expression of SIT2.
Box 3: No
The full credit card number is not inclued in Email3.
Note:
Sensitive information types (SIT) can use functions as primary elements for identifying sensitive items. For example, the Credit Card Number SIT uses the Func_credit_card function to detect credit card number.
Reference:
https://learn.microsoft.com/en-us/purview/sit-regex-validators-additional-checks#sensitive- information-type-regular-expression-validators
https://learn.microsoft.com/en-us/purview/sit-functions
NEW QUESTION # 30
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a Microsoft 365 tenant and 500 computers that run Windows 11. The computers are onboarded to Microsoft Purview.
You discover that a third-party application named Tailspin_scanner.exe accessed protected sensitive information on multiple computers.
Tailspin_scanner.exe is installed locally on the computers.
You need to block Tailspin_scanner.exe from accessing sensitive documents without preventing the application from accessing other documents.
Solution: From Microsoft Defender for Cloud Apps, you create an app discovery policy.
Does this meet the goal?
Answer: B
Explanation:
Cloud discovery policy is used to generate alert when new apps are detected and not for blocking access.
NEW QUESTION # 31
You need to meet the retention requirement for the users' Microsoft 365 data.
What is the minimum number of retention policies required to achieve the goal?
Answer: E
Explanation:
The requirement states that all Microsoft 365 data for users must be retained for at least one year. In Microsoft
365, retention policies must be configured for each type of data storage.
Step 1: Identifying Where Data is Stored
From the case study, users store data in the following locations:
# SharePoint Online sites
# OneDrive accounts
# Exchange email
# Exchange public folders
# Teams chats
# Teams channel messages
Since these locations fall under two broad categories:
# Microsoft Exchange data (Emails, Public folders)
# SharePoint, OneDrive, and Teams data
Step 2: Required Retention Policies
1#. A single retention policy can cover:
# SharePoint Online
# OneDrive
# Microsoft Teams
2. A second retention policy is required for:
# Exchange (Emails & Public Folders)
Thus, the minimum number of retention policies required to meet the requirement is 2.
Microsoft 365 retention policies can be applied broadly across multiple services with just two policies:
# One for Exchange & Public Folders
# One for SharePoint, OneDrive, and Teams
There's no need for separate policies for each individual workload unless different retention durations are required, which is not stated in the requirement.
NEW QUESTION # 32
You are creating a custom trainable classifier to identify organizational product codes referenced in Microsoft 365 content.
You identify 300 files to use as seed content.
Where should you store the seed content?
Answer: D
Explanation:
Seed content files for a custom trainable classifier should be stored in a SharePoint Online folder (or folders) that is dedicated to holding only that seed content. You'll need to create a separate folder for positive examples and another for negative examples. After placing the files, make note of the full URL of the SharePoint site, library, and folder for each set of content.
Note: How to create a trainable classifier
The following process automates the testing of trainable classifiers and shortens the creation workflow from 12 days to two days. In some cases, the process can take only a few hours.
1. Collect between 50 and 500 seed content items that strongly represent the data you want the classifier to positively identify as being in the category. For a list of supported file types, see Default crawled file name extensions and parsed file types in SharePoint Server.
2. Collect a second set of seed content (from 150 to 1,500 items) that represents data that don't belong in the category.
3. Place the positive and negative seed content in separate SharePoint folders. Each folder must be dedicated to holding only the seed content. Make note of the site, library, and folder URL for each set.
4. Sign in to the Microsoft Purview portal with either Compliance admin or Security admin role access and navigate to Data loss prevention > Data classification > Classifiers.
Reference:
https://learn.microsoft.com/en-us/purview/trainable-classifiers-get-started-with
NEW QUESTION # 33
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