Data Classification and DLP in Microsoft 365

Course Description

This SkillDynamo course develops practical, role-relevant capability in classifying and protecting Microsoft 365 information with sensitivity labels, data-loss-prevention policies, endpoint controls, alerting, governance, and incident management. The learning path progresses from essential concepts and planning to implementation, validation, troubleshooting, and operational use.

Learners work through realistic scenarios, guided demonstrations, applied exercises, and evidence-based reviews. Every topic is connected to workplace responsibilities, common risks, quality controls, and measurable outcomes.

The course helps professionals make informed decisions, identify failure points, communicate results, and create an actionable improvement plan for future projects.

What You Will Learn

• Identify sensitive information, business context, data locations, users, risks, regulations, owners, and protection requirements
• Design classification taxonomy, label hierarchy, naming, descriptions, publishing, exceptions, adoption, and measurable outcomes
• Configure sensitivity labels for files, email, sites, groups, meetings, containers, markings, encryption, and access control
• Use trainable classifiers, sensitive-information types, exact data match, auto-labeling, simulation, and confidence tuning
• Create DLP policies for Exchange, SharePoint, OneDrive, Teams, endpoints, browsers, devices, and supported applications
• Configure conditions, exceptions, thresholds, actions, user notifications, policy tips, overrides, evidence, and restrictions
• Test in simulation or audit modes, analyze alerts and incidents, investigate activity, tune false positives, and document response
• Apply roles, separation of duties, retention, privacy, change control, reporting, training, governance, and continuous improvement

SkillDynamo Training Approach

SkillDynamo delivers this course through demonstrations, hands-on exercises, scenario analysis, validation checklists, structured troubleshooting, solution reviews, and a final improvement plan. Learners repeatedly practice planning, implementation, evidence collection, testing, correction, and communication so the skills transfer confidently into real workplace situations.