1. Understand the Purview Security and Governance System
Map the Purview Landscape and Its Security Boundaries Translate Licensing, Roles, and Governance into an Operating Model
2. Discover, Map, and Curate the Data Estate
Design Data Map Scanning and Metadata Collection Build Unified Catalog, Lineage, Quality, and Data Products
3. Classify and Protect Information
Engineer Sensitive Information Types and Classifiers Design Sensitivity Labels, Publishing, and Auto-Labeling
4. Prevent Unsafe Data Movement
Design DLP Policies from Business Scenarios Extend DLP to Endpoints, Browsers, Teams, and AI
5. Govern the Information Lifecycle
Design Retention Policies and Labels Operate Records, Events, Disposition, and Legal Holds
6. Investigate and Preserve Evidence
Use Purview Audit as Evidence Run eDiscovery Cases, Holds, Searches, and Reviews
7. Manage Human, Communication, and Compliance Risk
Operate Insider Risk and Communication Compliance Responsibly Use Information Barriers and Compliance Manager as Governed Controls
8. Protect Privacy, SharePoint, Microsoft 365, and AI
Secure SharePoint and Microsoft 365 Collaboration Paths Govern Microsoft 365 Copilot and Other Generative AI Protect Privacy and Support Data-Subject Workflows
9. Integrate, Report, and Operate Purview
Integrate Scanners, APIs, Reporting, and Multi-Cloud Sources Run Purview as a Production Security Service Turn DSPM Findings into Data Security Investigations
10. Design and Prove a Complete Purview Program
Build the Purview Target Architecture and Roadmap Capstone: Prove the Security Layer End to End
5. Govern the Information Lifecycle

Design Retention Policies and Labels

Choose location-wide retention or item-level labels based on obligation, event, lifecycle, and user experience.

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In this lesson, you will learn to:

  • Apply a repeatable method for design retention policies and labels in a licensed, governed, and testable Purview environment.

Design Retention Policies and Labels

This lesson develops a practical understanding of design retention policies and labels and connects design choices to supported capabilities, operational dependencies, user impact, and verifiable evidence.

Retention and sensitivity answer different questions

Sensitivity governs handling; retention governs time and disposition. The same contract may be Highly Confidential and retained for seven years after expiry. A public filing may have low sensitivity but high record value. Keep these models separate and link them through governance rather than forcing one taxonomy to serve both.

Use retention policies for broad location or population rules. Use retention labels when items need distinct periods, event-based starts, record declaration, disposition review, or exceptions. Microsoft 365 uses preservation mechanisms that can retain content even after a user deletes it; explain this difference to service owners and support teams.

Build every rule from an approved schedule: record category, legal or business basis, start event, period, action at end, locations, owner, exceptions, and hold interaction. The retention and records management guide provides the architecture.

Model conflicts and lifecycle behavior before publication

Retention can overlap across policies, labels, holds, workload rules, and legacy Exchange features. Model which rule wins, when the clock starts, what users can delete, where preserved content remains, and when final deletion occurs. Test actual workloads because mailbox, SharePoint, OneDrive, and Teams content have different storage relationships.

When a site deletion is blocked, identify the applied policy, label, record status, hold, and preserved content. Do not remove every control to make the operation succeed. Follow the SharePoint deletion blocked by retention guide, obtain owner and Legal authorization, make the narrowest change, and preserve the decision.

Measure unlabeled required records, stale policies, event-matching failures, preservation errors, conflicts, and content past disposal eligibility. Storage growth alone does not prove retention is working, and storage reduction does not prove deletion was defensible.

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