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Guided DP-600 Domain 1
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DP-600 Study Guide

Domain 1: Maintain a Data Analytics Solution

  • Workspace Access Controls
  • Row-Level & Object-Level Security
  • Sensitivity Labels & Endorsement
  • Git Version Control in Fabric
  • Deployment Pipelines: Dev β†’ Test β†’ Prod
  • Impact Analysis & Dependencies
  • XMLA Endpoint & Reusable Assets

Domain 2: Prepare Data

  • Microsoft Fabric: The Big Picture Free
  • Lakehouses: Your Data Foundation Free
  • Warehouses in Fabric Free
  • Choosing the Right Data Store Free
  • Data Connections & OneLake Catalog
  • Shortcuts & OneLake Integration
  • Ingesting Data: Dataflows Gen2 & Pipelines
  • Star Schema Design Free
  • SQL Objects: Views, Functions & Stored Procedures
  • Transforming Data: Reshape & Enrich
  • Data Quality & Cleansing
  • Querying with SQL
  • Querying with KQL
  • Querying with DAX

Domain 3: Implement and Manage Semantic Models

  • Semantic Models: Storage Modes
  • Relationships & Advanced Modeling
  • DAX Essentials: Variables & Functions
  • Calculation Groups & Field Parameters
  • Large Models & Composite Models
  • Direct Lake Mode
  • DAX Performance Optimization
  • Incremental Refresh

DP-600 Study Guide

Domain 1: Maintain a Data Analytics Solution

  • Workspace Access Controls
  • Row-Level & Object-Level Security
  • Sensitivity Labels & Endorsement
  • Git Version Control in Fabric
  • Deployment Pipelines: Dev β†’ Test β†’ Prod
  • Impact Analysis & Dependencies
  • XMLA Endpoint & Reusable Assets

Domain 2: Prepare Data

  • Microsoft Fabric: The Big Picture Free
  • Lakehouses: Your Data Foundation Free
  • Warehouses in Fabric Free
  • Choosing the Right Data Store Free
  • Data Connections & OneLake Catalog
  • Shortcuts & OneLake Integration
  • Ingesting Data: Dataflows Gen2 & Pipelines
  • Star Schema Design Free
  • SQL Objects: Views, Functions & Stored Procedures
  • Transforming Data: Reshape & Enrich
  • Data Quality & Cleansing
  • Querying with SQL
  • Querying with KQL
  • Querying with DAX

Domain 3: Implement and Manage Semantic Models

  • Semantic Models: Storage Modes
  • Relationships & Advanced Modeling
  • DAX Essentials: Variables & Functions
  • Calculation Groups & Field Parameters
  • Large Models & Composite Models
  • Direct Lake Mode
  • DAX Performance Optimization
  • Incremental Refresh
Domain 1: Maintain a Data Analytics Solution Premium ⏱ ~11 min read

Sensitivity Labels & Endorsement

Classify data with Purview sensitivity labels and signal trust with endorsement badges. The governance layer on Fabric items.

Classification and trust

β˜• Simple explanation

Sensitivity labels are like food allergen stickers β€” β€œContains confidential data, handle with care.” They come from Microsoft Purview and travel with the data when exported.

Endorsement is like a restaurant rating: Promoted (recommended by owner) or Certified (verified by inspector).

Sensitivity labels from Purview classify items by data sensitivity and can enforce encryption and restrictions. Endorsement provides trust signals: Promoted (workspace member recommendation) or Certified (organisational verification).

Sensitivity labels

LabelMeaningRestrictions
PublicSafe for external sharingNone
GeneralInternal useNone
ConfidentialSensitive, internal onlyEncryption, no external sharing
Highly ConfidentialRegulated dataEncryption, watermarks, restricted access

Labels inherit downstream β€” a labelled semantic model passes its label to reports built on it. Labels persist in exports (PDF, Excel).

Endorsement

Promoted = team-level. Certified = org-level.
FeaturePromotedCertified
Who can applyWorkspace Members, AdminsOnly designated certifiers (configured by Fabric admin)
Trust levelTeam recommendationOrganisational verification
Question

Where do Fabric sensitivity labels come from?

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Answer

Microsoft Purview Information Protection. They persist when data is exported and can enforce encryption.

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Question

Promoted vs Certified endorsement?

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Answer

Promoted: any workspace Member can apply (team recommendation). Certified: requires special permissions from Fabric admin (org-wide verification).

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Knowledge Check

Raj wants all new Fabric items in the finance workspace to be classified. What should the admin configure?

Question

How do sensitivity labels inherit downstream in Fabric?

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Answer

When a labelled semantic model is used to create a report, the report automatically inherits the model's sensitivity label. Labels also persist in exports (PDF, Excel, PowerPoint). This ensures downstream items are never less protected than their source.

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Knowledge Check

Raj labels a semantic model as 'Confidential'. An analyst creates a new report connected to this model. What happens to the report's sensitivity label?

🎬 Video coming soon


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