Exam SC-401: Administering Information Security in Microsoft 365
Proctored certification exam that may include interactive components.
- Type
- Written
- Duration
- 100 min
Exam sections
Implement information protection
This section covers implementing and managing data classification using sensitive info types, trainable classifiers, and document fingerprinting. It also details sensitivity label configuration for items and containers, as well as information protection for Windows, file shares, and Exchange.
Question notes
Expect interactive components and various question styles as demonstrated in the Microsoft Exam Sandbox.
Preparation tips
Focus on the 'Implement Microsoft Purview Information Protection' learning path, specifically custom sensitive info types and sensitivity label publishing policies.
Implement data loss prevention and retention
This section focuses on designing and configuring Data Loss Prevention (DLP) policies for various environments, including Endpoint DLP. It also involves planning and managing information retention and recovery using retention labels, adaptive policy scopes, and lifecycle management.
Question notes
Expect interactive components and various question styles as demonstrated in the Microsoft Exam Sandbox.
Preparation tips
Focus on 'Implement and manage Microsoft Purview Data Loss Prevention' and 'Microsoft 365 retention and recovery' learning paths, prioritizing DLP rule precedence and adaptive scopes.
Manage risks, alerts, and activities
This section covers implementing Insider Risk Management, managing forensic evidence settings, and investigating security activities through Purview Audit and Activity Explorer. Additionally, it addresses protecting data used by AI services and managing Data Security Posture Management for AI content.
Question notes
Expect interactive components and various question styles as demonstrated in the Microsoft Exam Sandbox.
Preparation tips
Focus on 'Implement and manage Microsoft Purview Insider Risk Management', 'Audit and search activity', and 'Secure AI interactions' learning paths, especially forensics and AI protection controls.
