- Module 1: This module introduces you to data classification in Microsoft 365, including how to create and train classifiers, view sensitive data using Content explorer and Activity explorer, and implement Document Fingerprinting.
By the end of this module, you should be able to:
- Explain the benefits and pain points of creating a data classification framework.
- Identify how data classification of sensitive items is handled in Microsoft 365.
- Understand how Microsoft 365 uses trainable classifiers to protect sensitive data.
- Create and then retrain custom trainable classifiers.
- Analyze the results of your data classification efforts in Content explorer and Activity explorer.
- Implement Document Fingerprinting to protect sensitive information being sent through Exchange Online.
- Module 2: This module examines how sensitivity labels from the Microsoft Information Protection solution let you classify and protect your organization's data, while making sure that user productivity and collaboration isn't hindered.
By the end of this module, you should be able to:
- Describe how sensitivity labels let you classify and protect your organization's data
- Identify the common reasons why organizations use sensitivity labels
- Explain what a sensitivity label is and what they can do for an organization
- Configure a sensitivity label's scope
- Explain why the order of sensitivity labels in your admin center is important
- Describe what label policies can do
- Module 3: This module examines the process for implementing sensitivity labels, including applying proper administrative permissions, determining a deployment strategy, creating, configuring, and publishing labels, and removing and deleting labels.
By the end of this module, you should be able to:
- Describe the overall process to create, configure, and publish sensitivity labels
- Identify the administrative permissions that must be assigned to compliance team members to implement sensitivity labels
- Develop a data classification framework that provides the foundation for your sensitivity labels
- Create and configure sensitivity labels
- Publish sensitivity labels by creating a label policy
- Identify the differences between removing and deleting sensitivity labels
- Module 4: This module examines the data loss prevention features in Microsoft 365 that help organizations identify, monitor, report, and protect sensitive data through deep content analysis while helping users understand and manage data risks. MS-102
By the end of this module, you should be able to:
- Describe how Data Loss Prevention (DLP) is managed in Microsoft 365
- Understand how DLP in Microsoft 365 uses sensitive information types and search patterns
- Describe how Microsoft Endpoint DLP extends the DLP activity monitoring and protection capabilities.
- Describe what a DLP policy is and what it contains
- View DLP policy results using both queries and reports
- Module 5: This module examines how organizations can use Microsoft Purview Data Loss Prevention to help protect sensitive data and define the protective actions that organizations can take when a DLP rule is violated. MS-102
By the end of this module, you should be able to:
- Create a data loss prevention implementation plan. Implement Microsoft 365's default DLP policy.
- Create a custom DLP policy from a DLP template and from scratch.
- Create email notifications and policy tips for users when a DLP rule applies.
- Create policy tips for users when a DLP rule applies
- Configure email notifications for DLP policies
Prepare for Copilot for Microsoft 365: Part 4 – Protecting sensitive data
Overview
Syllabus
- Module 1: Module 1: Implement data classification of sensitive information
- Introduction
- Explore data classification
- Implement data classification in Microsoft 365
- Explore trainable classifiers
- Create and retrain a trainable classifier
- View sensitive data using Content explorer and Activity explorer
- Detect sensitive information documents using Document Fingerprinting
- Knowledge check
- Summary
- Module 2: Module 2: Explore sensitivity labels
- Introduction
- Manage data protection using sensitivity labels
- Explore what sensitivity labels can do
- Determine a sensitivity label's scope
- Apply sensitivity labels automatically
- Explore sensitivity label policies
- Knowledge check
- Summary
- Module 3: Module 3: Implement sensitivity labels
- Introduction
- Plan your deployment strategy for sensitivity labels
- Examine the requirements to create a sensitivity label
- Create sensitivity labels
- Publish sensitivity labels
- Remove and delete sensitivity labels
- Knowledge check
- Summary
- Module 4: Module 4: Explore Microsoft Purview Data Loss Prevention
- Introduction
- Examine Data Loss Prevention
- Explore Endpoint data loss prevention
- Examine DLP policies
- View DLP policy results
- Explore DLP reports
- Knowledge check
- Summary
- Module 5: Module 5: Implement Microsoft Purview Data Loss Prevention
- Introduction
- Plan to implement Microsoft Purview Data Loss Protection
- Implement Microsoft Purview's default DLP policies
- Design a custom DLP policy
- Create a custom DLP policy from a template
- Configure email notifications for DLP policies
- Configure policy tips for DLP policies
- Knowledge check
- Summary
Tags
Related Courses
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Manage data compliance for Copilot for Microsoft 365
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MS-102 Manage compliance in Microsoft 365
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Implement information protection and data loss prevention by using Microsoft Purview
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Prepare security and compliance to support Microsoft 365 Copilot
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SC-400: Implement Information Protection in Microsoft 365
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MS-102 Implement compliance in Microsoft 365
