Introduction
Contoso, Ltd. is a medium-size financial-services company in London with a New York branch office. Most of its environment runs on-premises on Windows Server. However, the organization is evaluating its cloud services.
Contoso has an outdated operational model with limited automation, and it relies on dated technology. The Contoso IT Engineering team is exploring the capabilities of Microsoft Azure and the Microsoft 365 platform. They want to determine whether Contoso can use Azure services to help modernize its current operational model through automation and virtualization. They’re also considering using Microsoft 365 productivity services. These services would replace Contoso's locally deployed services such as email, intranet portals, or storage. However, the Contoso legal department has serious concerns about using cloud services. It's concerned about data privacy, compliance, and data protection.
You're Contoso's lead system engineer and server administrator. You've been asked to evaluate the data privacy, protection, and compliance capabilities of Azure and the Microsoft 365 platform. You must ensure these services address your legal department's concerns.
In this module, you learn about data classification, data loss prevention (DLP), and managing sensitive data. You also learn about the commonly used Microsoft technologies for data classification, data protection, and DLP.
Learning objectives
After completing this module, you'll know more about how to describe:
- Sensitive information.
- Data classification.
- Common scenarios for using data classification.
- DLP.
- Microsoft technologies for data classification and protection, and DLP.
Prerequisites
- Basic knowledge of data protection
- Basic experience with security technologies
- Basic experience with Microsoft 365 or Microsoft Office 365 services