This audience for this course is data professionals with experience in data extraction, transformation, and loading. DP-700 is designed for professionals who need to create and deploy data engineering solutions using Microsoft Fabric for enterprise-scale data analytics. Learners should also have experience at manipulating and transforming data with one of the following programming languages: Structured Query Language (SQL), PySpark, or Kusto Query Language (KQL).

• Ingest data with Microsoft Fabric
• Implement a lakehouse in Microsoft Fabric
• Implement real-time intelligence with Microsoft Fabric
• Implement a data warehouse with Microsoft Fabric
• Manage an environment in Microsoft Fabric

• Ingest Data with Dataflows Gen2 in Microsoft Fabric
• Orchestrate processes and data movement with Microsoft Fabric
• Use Apache Spark in Microsoft Fabric
• Work with real-time data in a Microsoft Fabric eventhouse

• Introduction to end-to-end analytics using Microsoft Fabric
• Get started with lakehouses in Microsoft Fabric
• Use Apache Spark in Microsoft Fabric
• Work with Delta Lake tables in Microsoft Fabric
• Ingest Data with Dataflows Gen2 in Microsoft Fabric
• Orchestrate processes and data movement with Microsoft Fabric
• Organize a Fabric lakehouse using medallion architecture design

• Get started with Real-Time Intelligence in Microsoft Fabric
• Use eventstream in Microsoft Fabric
• Work with real-time data in a Microsoft Fabric eventhouse
• Create Real-Time Dashboards with Microsoft Fabric

• Introduction to end-to-end analytics using Microsoft Fabric
• Get started with data warehouses in Microsoft Fabric
• Load data into a Microsoft Fabric data warehouse
• Query a data warehouse in Microsoft Fabric
• Monitor a Microsoft Fabric data warehouse
• Secure a Microsoft Fabric data warehouse

• Implement continuous integration and continuous delivery (CI/CD) in Microsoft Fabric
• Monitor activities in Microsoft Fabric
• Secure data access in Microsoft Fabric
• Administer a Microsoft Fabric environment