Pass the Microsoft Certified: Information Security Administrator Associate SC-401 Questions and answers with ExamsMirror

Create: → A sensitive info type

Element: → Keyword dictionary

You want to classify documents in SharePoint Online based on a list of customer names stored in Customer.csv (1,000 entries).

In Microsoft Purview, there are several options for custom classification:

Sensitive info type (SIT):

Designed to detect predefined or custom patterns such as credit cards, IDs, or custom lists.

You can build a custom SIT using elements like keyword dictionary, regular expressions, and functions.

In this case, since you have a large CSV with 1,000 customer names, you upload that list as a keyword dictionary element.

Trainable classifier:

Used when you want AI to classify documents by training on examples of positive/negative samples (like contracts, resumes).

Not relevant here because you already have a structured list of customer names rather than needing machine learning classification.

Adaptive scope:

Determines where (users, groups, sites) policies apply, not what content is classified.

Not relevant here.

Correct pairing:

Create: A sensitive info type (SIT).

Element: Keyword dictionary (upload the Customer.csv file).

To create a keyword dictionary for a sensitive information type in Microsoft Purview Data Loss Prevention (DLP), you must use a plain text (.txt) file where each keyword is on a separate line.

Format Example (TXT file):

confidential

sensitive

classified

top secret

This format is simple, efficient, and directly compatible with Microsoft 365 DLP policies for keyword dictionaries.

How to use the keyword dictionary?

● Create a text file with one keyword per line.

● Upload it to Microsoft Purview under Data Classification > Sensitive Info Types.

● Use the dictionary in a DLP policy to identify and protect sensitive information.

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.

The Service domains setting in Microsoft 365 Endpoint Data Loss Prevention (Endpoint DLP) allows administrators to block or allow specific domains for file uploads. The goal is to prevent users from uploading DLP-protected documents to web1.contoso.com and web2.contoso.com.

Setting the Service domains to "web1.contoso.com and web2.contoso.com" precisely targets the two specific third-party websites, minimizing administrative effort while ensuring strict control.

This question is about creating a one-click policy within Microsoft Purview's Data Security Posture Management for AI portal. These policies are designed to mitigate risks associated with sensitive data and AI websites. The correct configuration for this specific scenario is to select "Test it out first" and apply the policy to "Devices, Instances, and SharePoint sites." This configuration is based on Microsoft's recommended practices for deploying data loss prevention (DLP) and similar policies.

Policy Mode: "Test it out first"

Microsoft recommends using test mode for new policies to evaluate their impact and effectiveness before enforcing them. This approach prevents unintended disruptions to user workflows. In test mode, the policy monitors and audits the specified activities without blocking them. It generates alerts and reports, allowing administrators to review the policy's behavior and make necessary adjustments. This aligns with the principle of "start small, then scale," ensuring that a policy designed to block sensitive data transfers doesn't inadvertently prevent legitimate business activities.

Policy Scope: "Devices, Instances, and SharePoint sites"

The policy aims to block users from pasting or uploading sensitive data to AI websites. This requires a comprehensive scope to cover all potential data exfiltration points.

Devices: This covers the user's local device, preventing data from being uploaded or pasted from applications running on the machine. This is crucial for controlling data from endpoints.

Instances: This refers to SaaS (Software as a Service) instances, including AI websites. Applying the policy to instances ensures that data transfers to these external services are monitored and controlled.

SharePoint sites: Data residing in SharePoint is a common source of sensitive information. Including SharePoint sites in the policy scope ensures that data cannot be directly copied from these locations and uploaded to AI websites, providing a holistic security posture.

By selecting "Devices, Instances, and SharePoint sites," the policy is configured to monitor and protect data across the most common sources and destinations, providing a robust defense against data exfiltration to AI services. This comprehensive approach is a cornerstone of modern data security strategies in Microsoft 365.

This information is verifiable through Microsoft's official documentation for Microsoft Purview, particularly sections related to Data Loss Prevention (DLP) policies and Data Security Posture Management for AI. The best practice of "test first" and the broad scope for sensitive data protection are consistently recommended.

To ensure Azure Storage Account keys are encrypted when sent via email, you need a Data Loss Prevention (DLP) policy that detects Azure Storage Account keys using a sensitive information type and automatically encrypts emails containing these keys.

A DLP policy with Exchange email as the only location meets this requirement because it identifies sensitive data in email messages and it applies protection actions, such as encryption, blocking, or alerts.

A. Create a DLP policy → Needed to detect sensitive information being shared externally.

B. Turn on Indicators → Required for insider risk policies to detect risky activities like external sharing.

C. Configure adaptive protection → Optional for tailoring enforcement, not mandatory here.

D. Turn on analytics → Helps assess policy impact but not required to generate alerts.

E. Create an insider risk policy → Required to generate insider risk alerts.

Comprehensive Detailed Explanation with References

When multiple advanced DLP rules match content, Microsoft 365 DLP evaluates based on:

Rule priority

Lower number = higher priority (0 highest).

Among Rule2 (priority 1), Rule3 (priority 2), and Rule4 (priority 3), Rule2 has the highest priority.

Conflict resolution (single vs multiple rules applied)

By default, only the highest-priority rule applies if multiple rules match. → That’s why in the first dropdown, the correct answer is Only Rule2 takes effect.

However, you can configure advanced DLP to allow multiple matching rules to take effect simultaneously. If this setting is enabled, then Rule2, Rule3, and Rule4 all apply. → That’s why in the second dropdown, the correct answer is Rule2, Rule3, and Rule4 take effect.

To ensure Azure Storage Account keys are encrypted when sent via email, you need a Data Loss Prevention (DLP) policy that detects Azure Storage Account keys using a sensitive information type and automatically encrypts emails containing these keys.

Text patterns in mail flow rules are not as reliable as sensitive information types in DLP.

Mail flow rules lack advanced content detection and machine learning-based classification, making them less effective than DLP.