Creating an app discovery policy in Microsoft Defender for Cloud Apps is used for detecting and monitoring cloud application usage, but it does not prevent a locally installed application (Tailspin_scanner.exe) from accessing sensitive files on Windows 11 devices.

To block Tailspin_scanner.exe from accessing sensitive documents while allowing it to access other files, the correct solution is to use Microsoft Purview Endpoint Data Loss Prevention (Endpoint DLP) and add Tailspin_scanner.exe to the Restricted Apps list.

Endpoint DLP allows you to block specific applications from accessing sensitive files while keeping general access available. Restricted Apps List in Endpoint DLP ensures that Tailspin_scanner.exe cannot open, copy, or process protected documents, but it can still function normally for non-sensitive content.

To meet the requirement that all administrative users must be able to create Microsoft 365 sensitivity labels, we need to assign the Sensitivity Label Administrator role to the correct users.

Sensitivity Label Administrator Role Responsibilities

This role allows users to:

● Create and manage sensitivity labels in Microsoft Purview.

● Publish and configure auto-labeling policies.

● Modify label encryption and content marking settings.

Review of Admin Roles from the Table:

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Users that must be assigned the Sensitivity Label Administrator role:

● Admin2 (Compliance Data Administrator)

● Admin3 (Compliance Administrator)

● Admin1 (Global Reader) (should be assigned this role to fulfill the requirement that all admins can create labels).

Since all employee assessments follow a specific template (AssessmentTemplate.docx), the best way to identify these documents for Data Loss Prevention (DLP) is to create a document fingerprint of that template.

Document fingerprinting allows Microsoft 365 DLP policies to recognize documents based on their structure and format, even when content inside varies (such as different employee names and results). By creating a fingerprint of AssessmentTemplate.docx, any copy derived from that template will be automatically detected by the DLP policy and blocked from being emailed externally.

Steps to implement:

● Create a document fingerprint of AssessmentTemplate.docx using PowerShell and the Microsoft Purview compliance portal.

● Apply a DLP policy to prevent external sharing of documents matching this fingerprint.

● Test the policy by attempting to email an assessment externally.

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Understanding Site4's Retention Policies:

● Site4RetentionPolicy1 deletes items older than 2 years from creation. If a file was created on January 1, 2021, it would be deleted after January 1, 2023.

● Site4RetentionPolicy2 retains files for 4 years from creation. If a file was created on January 1, 2021, it will be kept until January 1, 2025, but not deleted after that (policy states "Do nothing").

Statement 1 - Yes, because Site4RetentionPolicy2 ensures files are retained for 4 years.

Statement 2 - Yes, because Site4RetentionPolicy2 retains the file for 4 years (until January 1, 2025).

Statement 3 - No, because retention is only for 4 years (until January 1, 2025). After that, the policy does "nothing," meaning the file is no longer recoverable after that period.

In Microsoft Purview Exact Data Match (EDM) classifiers, a primary element is a unique, identifying field used for data matching. EDM allows up to two primary elements per schema.

From the provided table, the Match mode indicates how data is analyzed:

● PP (EU Passport Number) → Likely a primary element because it's unique.

● Name (All Full Names) → Typically not a primary element as names are common.

● DateOfBirth (Single-token) → Usually a secondary element, not unique.

● AccountNumber (Multi-token) → Can be a primary element, as it's a unique identifier.

● Since EDM supports a maximum of two primary elements, the correct answer is 2.

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Understanding DLP Policy Impact on File Access

The DLP policy (DLPpolicy1) applies to Site2 and restricts access when:

● Content contains SWIFT Codes.

● Instance count is 2 or more.

File Analysis (Based on SWIFT Codes Count)

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Files that remain accessible (not restricted by DLP):

● File1.docx (Contains only 1 SWIFT Code → Below restriction threshold)

User access after DLP policy is applied:

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User1 (Site Owner):

● Has higher privileges and can override DLP restrictions (through admin intervention).

● Can access 2 files (File1.docx + override access to another file).

User2 (Site Visitor):

● Has read-only access but DLP blocks access to restricted files.

● Can only access 1 file (File1.docx), since all others are restricted.

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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".

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The goal is to automatically label documents in Site1 that contain credit card numbers. To achieve this, we need a sensitivity label with an auto-labeling policy based on a sensitive info type that detects credit card numbers.

Step 1: Create a Sensitive Info Type

● A sensitive info type is needed to detect credit card numbers in documents.

● Microsoft Purview includes built-in sensitive info types for credit card numbers, but we can also create a custom one if necessary.

Step 2: Create a Sensitivity Label

● A sensitivity label is required to classify and protect documents containing sensitive information.

● This label can apply encryption, watermarking, or access controls to credit card data.

Step 3: Create an Auto-Labeling Policy

● An auto-labeling policy ensures that the sensitivity label is applied automatically when credit card numbers are detected in Site1.

● This policy is configured to scan files and automatically apply the correct sensitivity label.