Microsoft Purview Professional Exam Preparation
Prepare for the Microsoft Purview professional assessment through applied scenario reasoning, diagnostic drills, control...
12 lessons · 9 hrThis complete, practical course teaches how Microsoft Purview becomes a governed security, compliance, and data-management layer across Microsoft 365 and the wider data estate. It joins the two disciplines that organizations often separate: data governance through Data Map and Unified Catalog, and data security and compliance through Information Protection, DLP, lifecycle management, Audit, eDiscovery, human-risk workflows, Compliance Manager, and AI controls.
The course is designed for administrators, security and compliance professionals, data stewards, records managers, privacy teams, architects, auditors, and technical leaders. Each lesson explains the purpose behind the capability, shows how it fits with neighboring controls, guides the learner through decisions and failure conditions, and ends with an operational method that can be used in a real program. The final capstone produces an end-to-end, license-aware Purview control package with test evidence and clearly stated coverage boundaries.
You will get more from this course if these foundations are already familiar.
Build the mental model, licensing map, roles, and governance structure needed before configuring controls.
Separate data governance, data security, compliance, identity, access, and workload responsibilities so every control has a clear purpose.
Turn feature entitlements and administrative roles into accountable, least-privilege operations.
Use Data Map and Unified Catalog to build trusted metadata, ownership, lineage, and data products.
Plan collections, source registration, credentials, scans, classification, and monitoring without confusing metadata discovery with data access.
Convert scanned metadata into business domains, trusted products, lineage, access workflows, and measurable data health.
Design detection logic, sensitivity labels, publishing policies, encryption, and automation that users can operate.
Choose built-in SITs, regex, keyword evidence, EDM, document fingerprinting, and trainable classifiers according to the data and decision.
Create a small handling taxonomy, publish it deliberately, validate encryption, and automate only high-confidence decisions.
Build proportionate DLP controls across Microsoft 365 services, endpoints, browsers, devices, and AI routes.
Translate a data-loss scenario into locations, evidence, conditions, exceptions, actions, alerts, and measurable outcomes.
Protect data after it leaves a repository by validating device onboarding, application support, destination controls, and user experience.
Translate retention schedules into policies, labels, records, events, holds, disposition, and defensible deletion.
Choose location-wide retention or item-level labels based on obligation, event, lifecycle, and user experience.
Run the human and technical processes that turn retention configuration into defensible records management.
Use Audit and eDiscovery to reconstruct activity, preserve content, collect proportionately, and maintain case integrity.
Construct reliable audit searches, preserve context, understand licensing and retention, and avoid overclaiming from missing events.
Move from legal purpose to custodians, holds, collections, review sets, exports, and defensible case closure.
Apply privacy-aware risk workflows, ethical review, information barriers, and evidence-backed compliance improvement.
Use indicators and communication policies with proportionality, privacy, separation of duties, and human review.
Translate separation requirements and regulatory obligations into scoped controls, tests, evidence, and improvement work.
Apply Purview controls across collaboration services and generative AI while respecting permissions, privacy, and governance.
Connect site governance, file labels, permissions, sharing, DLP, retention, Office clients, and investigation evidence.
Build a governed data foundation, protect AI interactions, control third-party routes, and establish AI GRC.
Govern the personal information processed by Purview itself and build authorized, traceable workflows for locating and acting on data-subject information.
Connect scanners, APIs, reports, health monitoring, support, change management, and incident workflows.
Design reliable integrations with clear capability boundaries, pagination, identity, reconciliation, and ownership.
Establish health checks, change control, incident response, support, release gates, and service-level metrics.
Connect posture discovery, risk context, investigations, remediation, and outcome measurement without treating a recommendation as a conclusion.
Synthesize governance, architecture, controls, rollout, evidence, and improvement in a practical capstone.
Create a risk-led target state that connects data domains, Microsoft 365 workloads, controls, licenses, owners, and phased delivery.
Produce and test a complete Purview control package for a realistic company scenario.