SC-401 Administering Information Security in Microsoft 365 Questions and Answers

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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.

The Set-AdminAuditLogConfig -AdminAuditLogEnabled $true -AdminAuditLogCmdlets *Mailbox* command is incorrect. This enables admin audit logging, which tracks changes to mailbox configurations (e.g., mailbox settings updates), not user activity inside the mailbox.

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).

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

1️. 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.

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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.

Statement 1 - No. The sensitivity label includes content marking (watermark: INTERNAL), but it only applies to documents where the label is manually or automatically applied, not to all documents by default.

Statement 2 - No. The sensitivity label only specifies a watermark, not a header. If a header marking was configured, it would explicitly appear in the label settings.

Statement 3 - No. There is no indication that auto-labeling is configured to apply the label only to documents with the word "rebranding". Auto-labeling is an optional setting that needs explicit configuration.

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.

When you create a communication compliance policy in Microsoft Purview and select "Detect Microsoft Copilot interactions," certain trainable classifiers are automatically added to help detect sensitive or inappropriate AI usage.

The "Unauthorized disclosure" classifier helps detect cases where users might share confidential or sensitive information via Copilot interactions, preventing unintended data leaks. The "Protected Materials" classifier is used to identify sensitive or restricted content that should not be shared through Copilot, ensuring compliance with organizational policies.

To customize encrypted email in Microsoft 365, including adding a company logo, you need to modify the Office Message Encryption (OME) branding settings. The Set-OMEConfiguration PowerShell cmdlet allows you to configure branding elements such as:

● Company logo

● Custom text

● Background color

This cmdlet is used to update existing OME branding settings, ensuring that encrypted emails sent from your organization include the required customizations.

AutoApply1 is an auto-labeling policy that applies RLabel1 to Group1. Auto-labeling policies can apply retention labels across group mailboxes, SharePoint Online sites, and Teams channel messages if they are configured for group resources.

Retention1 is a retention policy applied to Group2. Retention policies for Microsoft 365 groups apply to all group resources, including group mailboxes, SharePoint Online teams sites, and Teams channel messages.

Since both AutoApply1 and Retention1 affect entire groups, they apply to all associated resources: group mailbox, SharePoint Online teams site, and Teams channel messages.

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.

Box 1: To include the sensitive info type detected for each DLP rule match, you need to add a custom column in Activity Explorer. This ensures that the exported file contains specific details about the detected sensitive information types.

Box 2: DLP activity exports from Activity Explorer are always in CSV (Comma-Separated Values) format. This format allows for easy data analysis and reporting in Excel or other data-processing tools.