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Microsoft Fabric Data Engineering Solutions - DP-700
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Microsoft Fabric Data Engineering Solutions - DP-700

About this course

Microsoft Fabric Data Engineering Solutions (DP-700) - Study GuideExam Overview and Purpose:The DP-700: Microsoft Fabric Data Engineering Solutions certification validates your ability to design, build, operationalize, optimize, and maintain data engineering workloads using Microsoft Fabric. The exam focuses on end-to-end data engineering practices across Fabric’s integrated component such as Lakehouse, Data Factory, Pipelines, Notebooks, Dataflows Gen2, Lakehouses, Warehouses, Event Streams, KQL databases, and Real-Time Intelligence while ensuring scalable, secure, and governed data operations.Key exam domains include:Section 1: Implement and manage an analytics solution Section 2: Ingest and transform dataSection 3: Monitor and optimize an analytics solutionPurpose of the Certification:Candidates are assessed on their capability to ingest, transform, store, monitor, and manage data efficiently within a unified Fabric analytics platform, using best practices for performance, cost efficiency, reliability, and collaboration.Purpose of the Certification:Candidates are assessed on their capability to ingest, transform, store, monitor, and manage data efficiently within a unified Fabric analytics platform, using best practices for performance, cost efficiency, reliability, and collaboration.This certification is designed for:Data Engineers responsible for building and operationalizing data pipelines and analytical systems.BI Engineers and Analytics Engineers leveraging Fabric’s unified storage and transformation layers.SQL Developers / ETL Developers transitioning into modern cloud-native analytical engineering.Data Platform Engineers tasked with enterprise-scale data orchestration and governance.Cloud Data Professionals working with OneLake

B

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45/45
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What you'll learn

  • design data engineering solutions
  • build data pipelines
  • manage analytics solutions
  • optimize data workloads
  • monitor data operations

Course objectives

  • validate the ability to maintain data engineering workloads
  • ensure data operations are scalable and governed
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