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Microsoft Official Curriculum

Role-Based Certification PrepTrack: Microsoft Certified: Fabric Data Engineer AssociateOfficial Source: Microsoft Learn
MicrosoftIntermediate

Implement data engineering solutions using Microsoft Fabric

This course covers methods and practices to implement data engineering solutions by using Microsoft Fabric. Students will learn how to design and develop effective data loading patterns, data architectures, and orchestration processes. Objectives for this course include ingesting and transforming data and securing, managing, and monitoring data engineering solutions. This course is designed for data professionals with some data integration and orchestration experience.

Duration

4 days

Level

Intermediate

Format

Virtual, On-site, or Hybrid

Language

English

Enterprise Track

Ideal for

Data EngineerData EngineeringCertification ReadinessTailored Team Delivery

Audience Profile

Built for these roles

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).

Overview

Executive overview

As a candidate for this exam, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes.

Program Outcomes

Capabilities your teams will gain

Implement and manage an analytics solution

Ingest and transform data

Monitor and optimize an analytics solution

Curriculum

Curriculum roadmap

1

Implement and manage an analytics solution

2

Ingest and transform data

3

Monitor and optimize an analytics solution

1

Module 1

Ingest data with Microsoft Fabric

+

Learn to ingest and process data in Microsoft Fabric using Dataflows Gen2, pipelines, Apache Spark, and KQL databases.

  • 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
2

Module 2

Implement a Lakehouse with Microsoft Fabric

+

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
3

Module 3

Implement Real-Time Intelligence with Microsoft Fabric

+

Ingest, transform, and analyze streaming data with Real-Time Intelligence in Microsoft Fabric.

  • Get started with Real-Time Intelligence in Microsoft Fabric
  • Use Eventstream 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
4

Module 4

Implement a data warehouse with Microsoft Fabric

+

Explore the data warehousing process and learn how to load, monitor, secure, and query a warehouse in 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
  • Get started with Copilot in Microsoft Fabric for Data Warehouse
  • Monitor a Microsoft Fabric data warehouse
  • Secure a Microsoft Fabric data warehouse
5

Module 5

Manage a Microsoft Fabric environment

+

Learn how to manage a Microsoft Fabric environment through CI/CD, monitoring, security, and administration.

  • 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

Delivery Models

Delivery models

Virtual ILTOnsiteHybridExecutive WorkshopBootcampWeekend

Engagement Fit

Engagement fit

Certification readinessImplementation-focused labsPrivate cohort deliveryIntermediate practitioner depth

Enterprise Customization

Enterprise customization

Tailor this program to your organization's priorities: Builds current Microsoft credential readiness for Fabric Data Engineer Associate using the official Microsoft Learn skill outline.

  • Align labs to your Microsoft tenant and workload scenarios
  • Add readiness checks and exam preparation reviews
  • Extend delivery with role-specific implementation workshops

Credentials

Certification & official source

  • Microsoft Certified: Fabric Data Engineer Associate

Aligned to the official Microsoft Learn course and learning path for this program.

View Official Microsoft Learn Page

Resources

Program resources

Yes. Most enterprise clients prefer private delivery scoped to role mix, timezone, and rollout timeline. We align lab environments and scenarios to your tenant context where applicable.

Enterprise Proof

Trusted delivery outcomes

The Microsoft Fabric implementation program gave our data engineering team a structured path from legacy pipelines to a modern lakehouse architecture.

Head of Data Engineering

Global Financial Services Firm

Financial Services

Delivery Capability

Enterprise-grade instruction

View delivery capability profile

MCT-led delivery

Programs led by Microsoft Certified Trainer practitioners

Enterprise program oversight

Founder-led specialist delivery with structured rollout planning

Global delivery

APAC · EMEA · Americas · Virtual & Onsite

Implementation-focused

Hands-on labs aligned to production scenarios

Engagement Confidence

A direct, founder-led review before scope, delivery model, and commercial terms are proposed.

Response window

< 1 business day

Client coverage

India + global teams

Engagement format

Virtual, on-site, hybrid