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Microsoft Fabric Data Engineer DP-700T00

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Microsoft Fabric Data Engineer DP-700T00 is an intermediate-level course designed for data professionals who need to implement data engineering solutions using Microsoft Fabric. The course covers data ingestion and transformation, lakehouse implementation, real-time intelligence, data warehousing, orchestration, and management of Microsoft Fabric environments. Learners work with technologies including Dataflows Gen2, pipelines, Apache Spark, KQL, Eventhouse, OneLake, Delta Lake, and Microsoft Fabric data warehouses. The course is designed for professionals with experience in data extraction, transformation, loading, data integration, and orchestration who need to create and deploy data engineering solutions for enterprise-scale data analytics.
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Course Description

Key Takeaways
  • Ingest data using Microsoft Fabric.
  • Implement a lakehouse using Microsoft Fabric.
  • Implement real-time intelligence solutions in Microsoft Fabric.
  • Implement a data warehouse using Microsoft Fabric.
  • Manage a Microsoft Fabric environment.
  • Work with Dataflows Gen2, pipelines, Apache Spark, Eventhouse, and KQL.
  • Apply data engineering solutions for enterprise-scale analytics.
Course Outline

Module 1: Ingest Data with 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 an Eventhouse in Microsoft Fabric

Module 2: Implement a Lakehouse with Microsoft Fabric

  • 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

Module 3: Implement Real-Time Intelligence with Microsoft Fabric

  • Get started with Real-Time Intelligence in Microsoft Fabric
  • Use eventstreams in Microsoft Fabric
  • Work with real-time data in an Eventhouse in Microsoft Fabric
  • Create Real-Time Dashboards with Microsoft Fabric
  • Use Activator in Microsoft Fabric

Module 4: Implement a Data Warehouse 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

Module 5: Manage a Microsoft Fabric Environment

  • 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

Module 6: Use Activator in Microsoft Fabric

  • Configure Activator for your data
  • Create rules in Activator
  • Configure actions in Activator
  • Exercise - Use Activator in Fabric
Duration

4 Days

Exam Details

Certification: Microsoft Certified: Fabric Data Engineer Associate

Exam: DP-700: Implementing Data Engineering Solutions Using Microsoft Fabric

Duration: 100 minutes

Format: Proctored certification exam with possible interactive components.

Lab Outline
  • Creating and using Dataflows Gen2
  • Building and monitoring data pipelines
  • Working with Apache Spark
  • Creating and working with lakehouses
  • Working with Delta Lake tables
  • Building medallion architecture
  • Working with Eventhouse and Eventstreams
  • Creating real-time dashboards
  • Working with Fabric data warehouses
  • Implementing CI/CD
  • Monitoring Fabric activities
  • Configuring data access and security
  • Working with Activator
Who should attend
  • Data professionals with experience in data extraction, transformation, and loading.
  • Data engineers working with Microsoft Fabric.
  • Professionals responsible for data integration and orchestration.
  • Professionals who need to create and deploy data engineering solutions for enterprise-scale data analytics.
  • Data professionals with experience using SQL, PySpark, or Kusto Query Language (KQL).
Prerequisites
  • Experience with data extraction, transformation, and loading.
  • Some experience with data integration and orchestration.
  • Experience manipulating and transforming data using SQL, PySpark, or KQL.
  • Familiarity with the Microsoft Fabric interface and core concepts is recommended.

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FAQs

What is Microsoft Fabric Data Engineer DP-700T00?

DP-700T00 is a Microsoft intermediate-level course focused on implementing data engineering solutions using Microsoft Fabric. It covers data ingestion, transformation, lakehouses, real-time intelligence, data warehouses, orchestration, and Fabric environment management.

Which certification is associated with DP-700?

The course prepares learners for the Microsoft Certified: Fabric Data Engineer Associate certification and the associated DP-700 exam.

What programming languages should I know before taking DP-700?

Microsoft recommends experience manipulating and transforming data using SQL, PySpark, or Kusto Query Language (KQL). These skills are relevant throughout the data ingestion, transformation, and analytics workflows covered by the course.

Does DP-700 include hands-on practice?

Yes. The Microsoft learning content contains practical exercises covering technologies such as Dataflows Gen2, pipelines, Apache Spark, lakehouses, Delta Lake, Eventhouse, and data warehouses. Training providers such as Koenig also offer dedicated lab environments with their delivery.

What topics are tested in the DP-700 exam?

The current DP-700 exam measures three major areas: implementing and managing an analytics solution, ingesting and transforming data, and monitoring and optimizing an analytics solution. Each domain currently represents 30–35% of the exam.

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