All SC-401 Test Inside Microsoft Questions

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.

To create a document fingerprint in Microsoft 365 Data Loss Prevention (DLP), you need to use PowerShell for Microsoft Purview. The correct cmdlet to connect to the Microsoft 365 Security & Compliance Center (where DLP policies are managed) is Connect-IPPSSession. This cmdlet establishes a PowerShell session to manage DLP policies, compliance settings, and document fingerprinting.

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.

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".