---
title: DP-700 Labs
description: "Lab exercises for DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric. Includes Applied Skills, Microsoft Learn, and Microsoft GitHub labs."
---

**Applied Skills:**

:::note
Applied Skills on Microsoft Learn are practical, hands-on exercises designed to help users build and demonstrate proficiency in specific technologies or tasks. These small labs focus on solving real-world scenarios, reinforcing learning through direct application of skills, and preparing users for industry roles or certifications.
:::

### Implement a Real-Time Intelligence solution with Microsoft Fabric

**Microsoft Learn:**

:::note
Microsoft Learn Sandboxes require you to bring in your own subscription.
:::

### Create and use a Dataflow Gen2 in Microsoft Fabric

### Ingest data with a pipeline

### Analyze data with Apache Spark

### Explore Real-Time Intelligence in Fabric

### Ingest real-time data with Eventstream in Microsoft Fabric

### Work with data in a Microsoft Fabric eventhouse

### Create a Microsoft Fabric lakehouse

### Use delta tables in Apache Spark

### Organize your Fabric lakehouse using a medallion architecture

### Get started with real-time dashboards

### Implement deployment pipelines in Microsoft Fabric

### Monitor Fabric activity in the Monitor hub

### Secure data access in Microsoft Fabric

**Microsoft GitHub:**

:::note
Microsoft GitHub labs are series of labs designed to be used in Microsoft Instructor Lead Trainings delivered by Microsoft Certified Trainers where participants also have access to the environment to perform them. This means that for everyone else, it is necessary to bring your own environment to go through them.
:::

### Create a Microsoft Fabric Lakehouse

### Analyze data with Apache Spark

### Use delta tables in Apache Spark

### Create a medallion architecture in a Microsoft Fabric lakehouse

### Ingest data with a pipeline in Microsoft Fabric

### Create and use Dataflows (Gen2) in Microsoft Fabric

### Analyze data in a data warehouse

### Load data into a warehouse using T-SQL

### Query a data warehouse in Microsoft Fabric

### Monitor a data warehouse in Microsoft Fabric

### Secure a Microsoft Fabric data warehouse

### Get started with Real-Time Intelligence in Microsoft Fabric

### Get started with data science in Microsoft Fabric

### Explore data for data science with notebooks in Microsoft Fabric

### Preprocess data with Data Wrangler in Microsoft Fabric

### Train and track machine learning models with MLflow in Microsoft Fabric

### Generate batch predictions using a deployed model in Microsoft Fabric

### Ingest real-time data with Eventstream in Microsoft Fabric

### Work with data in a Microsoft Fabric eventhouse

### Get started with Real-time Dashboards in Microsoft Fabric

### Create DAX calculations in Power BI Desktop

### Design scalable semantic models

### Create reusable Power BI assets

### Optimize semantic model performance

### Enforce semantic model security

### Monitor Fabric activity in the monitoring hub

### Secure data access in Microsoft Fabric

### Work with SQL Database in Microsoft Fabric

### Work with API for GraphQL in Microsoft Fabric

### Implement deployment pipelines in Microsoft Fabric