Information Security Administrator (SC-401)
Course 8753
4 DAY COURSE

This course equips you with the skills to plan and implement information security for sensitive data using Microsoft Purview and related services. You'll learn to protect data within Microsoft 365 collaboration environments from internal and external threats, manage security alerts, respond to incidents, and safeguard data used by AI services.

Information Security Administrator (SC-401) Benefits

• In this course, you will:

  • Develop and implement comprehensive data protection strategies.
  • Mitigate risks associated with internal and external threats.
  • Ensure compliance with data retention and governance policies.
  • Enhance incident response capabilities.
  • Safeguard data in AI-integrated environments.

• Prerequisites

  • Foundational knowledge of Microsoft security and compliance technologies.
  • Basic understanding of information protection concepts.
  • Familiarity with cloud computing concepts.
  • Understanding of Microsoft 365 products and services.

• Exam Information

  This course helps prepare students for the Microsoft Certified: Information Security Administrator Associate Certification

Information Security Admin (SC-401) Course Outline

Learning Objectives

Module 1: Implement Microsoft Purview Information Protection

• Purpose: Learn to classify, label, and protect data using Microsoft Purview.
• Learning Outcomes:
• Classify data for protection and governance.
• Create and manage sensitivity labels.
• Deploy message encryption.

Module 2: Implement and Manage Data Loss Prevention

• Purpose: Prevent data loss across cloud and endpoint environments.
• Learning Outcomes:
• Design and implement DLP policies.
• Manage endpoint DLP.
• Investigate DLP alerts.

Module 3: Implement and Manage Insider Risk Management

• Purpose: Detect and respond to internal risks.
• Learning Outcomes:
• Create and manage insider risk policies.
• Investigate insider risk activities.
• Implement adaptive protection.

Module 4: Protect Data in AI Environments with Microsoft Purview

• Purpose: Safeguard data used by AI services.
• Learning Outcomes:
• Discover AI interactions with Microsoft Purview.
• Protect sensitive data from AI-related risks.
• Govern AI usage.

Module 5: Implement and Manage Retention and Recovery

• Purpose: Manage data lifecycle through retention policies.
• Learning Outcomes:
• Understand retention in Microsoft Purview.
• Implement and manage retention and recovery.

Module 6: Audit and Search Activity

• Purpose: Use Microsoft Purview to log and search activities.
• Learning Outcomes:
• Search and investigate with Microsoft Purview Audit.
• Search for content with eDiscovery.