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This module will focus on the proactive detection of anomalies in the IoT device telemetry. Additionally, this module will cover the customization of the Connected Field Service components to handle different telemetry from the device and options for storing detail data for future analysis.

Units in this learning path:

• 1 Identify Exceptions with Connected Field Service Overview
• 2 Connect to a Device
• 3 Detail Telemetry Storage
• 4 Identify Exceptions
• 5 Options for Anomaly Detection
• 6 Anomaly Detection
• 7 Knowledge Check
• 8 Summary and Cleanup

Products: Dynamics 365, Dynamics Field Service, Azure, Azure Iot Central

Roles: Business User, Functional Consultant

Level: Intermediate

Subjects: Iot, Data Analytics

Duration: 93 minutes

Understand how Adaptive Protection applies machine learning to assess user risk and automatically enforce the right level of security controls. By dynamically assigning Data loss prevention, Data lifecycle management, and Conditional Access policies, it strengthens data security while reducing unnecessary alerts and manual intervention.

Units in this learning path:

• Introduction
• Overview
• Risk Levels
• Configure Adaptive Protection
• Manage Adaptive Protection
• Summary Knowledge Check

Products: Microsoft Purview, M365, Office 365

Roles: Administrator

Level: Intermediate

Subjects: Data Management, Insider Risk, Threat Protection

Duration: 37 minutes

Write code to create, read, update, and delete items in Azure Cosmos DB for NoSQL.

Units in this learning path:

• Introduction
• Understand
• Create Documents
• Read Document
• Update Documents
• Configure Ttl for Document
• Delete Documents
• Exercise Create Update Documents Sdk
• Knowledge Check
• Summary

Products: Azure Cosmos Db

Roles: Developer

Level: Intermediate

Subjects: Data Engineering, Data Storage

Duration: 45 minutes

Implement Azure Database for MySQL Flexible Server features that support mission-critical workloads

Units in this learning path:

• Introduction
• Configure Networking Security Features
• Configure Business Continuity Disaster Recovery
• Determine Azure Database for Mysql Server Scaling Needs
• Knowledge Check
• Summary

Products: Azure, Azure Database Mysql

Roles: Administrator, Database Administrator, Technology Manager

Level: Beginner

Subjects: Databases

Duration: 30 minutes

Explore Azure Monitoring for SAP workloads configuration on Azure Virtual Machines.

Units in this learning path:

• Introduction
• Azure Options for Monitoring
• Monitoring Sap Azure Case Study
• Azure Monitor Solutions Concepts
• Using Log Analytics
• Knowledge Check
• Summary

Products: Azure

Roles: Administrator

Level: Intermediate

Subjects: Data Management, Virtual Machine

Duration: 23 minutes

Implement Azure Synapse Link for SQL

Units in this learning path:

• Introduction
• Understand Synapse Link SQL
• Synapse Link Azure SQL
• Synapse Link SQL Server
• Exercise Synapse Link SQL
• Knowledge Check
• Summary

Products: Azure SQL Database, Azure Synapse Analytics, SQL Server

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering

Duration: 55 minutes

Implement Azure Synapse Link with Azure Cosmos DB

Units in this learning path:

• Introduction
• Enable Cosmos Db Account to Use
• Create Analytical Store Enabled Container
• Implement Synapse Link for
• Create Resources
• Query with SQL
• Exercise Synapse Link Cosmos Db
• Knowledge Check
• Summary

Products: Azure Cosmos Db, Azure Synapse Analytics

Roles: Data Engineer

Level: Intermediate

Subjects: Data Analytics

Duration: 67 minutes

This learning path covers the implementation of data governance and security best practices using Databricks Unity Catalog. You'll learn how to manage data storage and implement security and access control with Azure Databricks Unity Catalog.

Modules in this learning path:

• Understand Unity Catalog
• Secure Unity Catalog for Governance
• Implement Security Unity Catalog
• Implement Advanced Security Unity Catalog

Products: Azure Databricks

Roles: Data Engineer

Level: Intermediate

Subjects: Data Engineering

Duration: 256 minutes

In today's world, we produce vast amounts of unstructured data, making it difficult to find relevant information. This course will provide an understanding of lexical search, its capabilities, and how to use them to harness the full potential of…

Implement Microsoft Fabric Data Agents (chat with your data)

Units in this learning path:

• Introduction
• Data Agent Capabilities
• End to End Scenario
• Azure AI Foundry
• Power Bi
• Exercise Copilot Fabric Data Agents
• Knowledge Check
• Summary

Products: Fabric

Roles: Data Analyst, Data Engineer

Level: Intermediate

Subjects: Data Analytics, Data Engineering, Data Integration

Duration: 54 minutes

This credential earner demonstrated their applied knowledge in implementing predictive analytics techniques to analyze data and optimize decision making. The earner has knowledge of supervised machine learning practices such as linear regression and logistical classification, and the knowledge on how to optimize these models using different methods such as decision trees. The earner will build and develop their transferable skills and gain real industry experience.

Implement Windows Server Data Deduplication

Units in this learning path:

• Introduction
• Define Architecture Components Functionality of
• Define Use Cases Interoperability of
• Implement
• Manage Maintain
• Knowledge Check
• Summary

Products: Windows Server

Roles: Administrator, Security Engineer, Solution Architect

Level: Intermediate

Subjects: Data Management

Duration: 45 minutes