Microsoft SC-401 Exam With Confidence Using Practice Dumps

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.

Let’s break it down:

File1.docx → DLP action = None

No DLP restrictions, so it is fully accessible to both User1 (owner) and User2 (member).

File2.docx → DLP action = Matched by DLP

“Matched” means the DLP policy detected sensitive content but has not blocked access. Instead, it may generate an alert or policy tip.

Both User1 and User2 can still open this file.

File3.docx → DLP action = Blocked by DLP

“Blocked” means the DLP policy actively restricts access or sharing of the file.

User2 (member) cannot open this file.

However, User1 (site owner) can open it because site collection admins and owners always retain full control over content, even if a DLP rule applies.

Ref: Microsoft Purview DLP policy tips and enforcement

→ DLP policies do not prevent SharePoint/OneDrive site collection admins (owners) from accessing content.

✅ Final Answer Table:

User1 (Site Owner): File1.docx, File2.docx, File3.docx

User2 (Site Member): File1.docx, File2.docx

Activity Explorer logs a DLP rule match event each time any DLP rule condition is met on a file.

File1 matches Rule11 and Rule12 → 2 events

File2 matches Rule21 and Rule22 → 2 events

File3 matches Rule11 and Rule22 → 2 events

Total events in Activity Explorer = 2 + 2 + 2 = 6.

Microsoft notes that Activity explorer shows granular DLP activities such as policy rule matches per item.

The DLP incidents report aggregates by policy match per item, not by each rule in that policy. Multiple rules from the same policy on the same item count as one incident; if different policies match the same item, each policy creates its own incident.

File1: Rules from DLP1 only → 1 incident

File2: Rules from DLP2 only → 1 incident

File3: One rule from DLP1 and one from DLP2 → 2 incidents

Total incidents = 1 + 1 + 2 = 4.