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Learn how to create ontologies in Fabric IQ by building manually or generating from Power BI semantic models, then bind ontology definitions to lakehouse tables and eventhouse streams.

Units in this learning path:

• Introduction
• Evaluate Ontology Creation Approaches
• Build Ontology Components Manually
• Generate Ontology from Semantic Model
• Connect Ontology to Data
• Configure Relationships
• Preview Ontology
• Exercise Build Ontology Manually
• Exercise Build Ontology Semantic Model
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst

Level: Intermediate

Subjects: Data Analytics

Duration: 143 minutes

Learn to create a successful open-source program by establishing contributor guidance, following proven processes, and by using community standards.

Units in this learning path:

• 1 Introduction
• 2 Establish Open Source Program
• 3 Create Open Source Program
• 4 Describe Benefits Open Source Community
• 5 Knowledge Check
• 6 Summary

Products: Github, Azure

Roles: Devops Engineer, Administrator, Developer, Solution Architect

Level: Beginner

Subjects: Devops, Site Reliability Engineering

Duration: 91 minutes

This credential earner demonstrated their applied knowledge in creating and implementing security measures for a technology company. The earner has implemented essential security controls, identified common threats and attacks, and understood data and access controls. The earner will build and develop their transferable skills and gain real industry experience.

In this learning path, you practice creating and managing automated processes by using Power Automate. PL-7002

Modules in this learning path:

• Flow Get Started
• Build Approval Flows
• Manage User Information
• Multiple Data Sources
• Create Manage Automated Processes with Power Automate

Products: Power Automate, Dataverse

Roles: Business User

Level: Intermediate

Subjects: Automation

Duration: 217 minutes

Learn what functions are and how to define and call them. In addition, use function patterns to architect with functions.

Units in this learning path:

• Introduction
• Function
• Exercise Function
• Function Patterns
• Exercise Patterns
• Knowledge Check
• Summary

Products: Dotnet

Roles: Developer, Student

Level: Beginner

Duration: 18 minutes

This module focuses on Group Policy objects, including using them to enforce a robust password policy.

Units in this learning path:

• Introduction
• Define Group Policy Objects
• Implement Object Scope Inheritance
• Define Domain Based
• Create Configure Domain Based Object
• Configure Domain Password Policy
• Configure Apply Fine Grained Password Policy
• Knowledge Check
• Summary

Products: Active Directory

Roles: Administrator

Level: Intermediate

Subjects: Architecture, Device Management, Infrastructure

Duration: 48 minutes

In this module, you learn how to create and configure access to a Log Analytics workspace. You also learn how to configure data retention and to enable health status alerts for a Log Analytics workspace.

Units in this learning path:

• Introduction
• Create Log Analytics Workspace
• Configure Access Log Analytics Workspace
• Configure Log Analytics Data Retention
• Configure Log Analytics Health Status Alerts
• Knowledge Check
• Summary

Products: Azure Log Analytics, Azure Monitor

Roles: Administrator

Level: Intermediate

Duration: 28 minutes

Learn how to provision an Azure DocumentDB cluster, connect with MongoDB tools, and configure compute, storage, and security settings.

Units in this learning path:

• Introduction
• Create Cluster Azure Portal
• Connect to Cluster
• Configure Compute Storage
• Configure Security Networking
• Exercise Create Connect Cluster
• Knowledge Check
• Summary

Products: Azure Documentdb

Roles: Developer

Level: Intermediate

Subjects: Databases

Duration: 57 minutes

Create and configure host pools and session hosts for Azure Virtual Desktop

Units in this learning path:

• Introduction
• Plan Host Pools Session Hosts
• Operating Systems Azure Regions
• Network Remote Desktop Client Planning
• Manage Licensing for That Run Windows Client
• Create Host Pool Azure Portal
• Add Session Hosts Pool
• Customize Remote Desktop Properties Host Pool
• Knowledge Check
• Summary

Products: Azure, Azure Virtual Desktop, Azure Virtual Machines

Roles: Administrator, Solution Architect

Level: Intermediate

Subjects: Infrastructure

Duration: 57 minutes

Microsoft Purview sensitivity labels enable you to classify and protect sensitive data throughout your organization, including in the cloud and on devices. This module covers how to classify and protect sensitive information to ensure its security and compliance.

Units in this learning path:

• Introduction
• Information Protection Overview
• Configure Sensitivity Labels
• Configure Sensitivity Label Encryption
• Configure Auto Labeling Policies
• Manage Monitor Remediate
• Knowledge Check
• Summary

Products: Microsoft Purview, M365, Office 365

Roles: Administrator

Level: Intermediate

Subjects: Information Protection Governance

Duration: 54 minutes

Increase engagement and reduce time spent searching by creating customized answers like bookmarks, Q&As, and acronyms in the Microsoft 365 admin center.

Units in this learning path:

• Introduction
• Bookmarks Questions Answers
• Acronyms
• Locations Floor Plans
• Create Answers Faster
• Other Answers Content
• Knowledge Check
• Summary

Products: M365, Office, Windows, Bing

Roles: Administrator, Business Owner, Functional Consultant, Technology Manager

Level: Beginner

Subjects: Process Workflow, Customer Relationship Management

Duration: 25 minutes

Do you want to use rollup or calculation columns? This module shows you how to build calculations or rollups that are defined and triggered within the data in Dataverse, regardless of the app that accesses that data set.

Units in this learning path:

• 1 Intro
• 2 Rollup
• 3 Calculation
• 4 Create
• 5 Exercise 1
• 6 Exercise 2
• Formula
• 7 Check
• 8 Summary

Products: Dynamics 365, Power Platform, Dataverse, Power Apps

Roles: Functional Consultant

Level: Intermediate

Subjects: Data Modeling

Duration: 44 minutes