Exam Prep DP-700: Microsoft Fabric Data Engineer Associate

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This "Exam Prep DP-700: Microsoft Fabric Data Engineer Associate" Specialiation comprehensive certification course is designed for data professionals aiming to master end-to-end analytics design, implementation, and management using Microsoft Fabric. Dive deep into Microsoft’s unified data platform and learn how to configure, secure, and orchestrate data solutions across Fabric’s integrated services - covering data engineering, data science, and business intelligence workloads. The course delivers approximately 3+ hours of video lectures, combining conceptual understanding with hands-on demonstrations mapped to the official Microsoft Certified: Fabric Data Engineer Associate (Exam DP-700) objectives. Each module includes quizzes and in-video assessments to reinforce key learning outcomes and prepare you for real-world analytics challenges. Courses in This Specialization: Course 1 - Microsoft Fabric: Architecture and Analytics Essentials Course 2 - Microsoft Fabric: Ingest and Transform Data Course 3 - Microsoft Fabric: Monitor and Optimize Analytics Solutions

Syllabus

Course 1: Microsoft Fabric: Implement and Manage Analytics Solutions
Course 2: Microsoft Fabric: Ingest and Transform Data
Course 3: Microsoft Fabric: Monitor and Optimize an Analytics Solution

Courses

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13 hours 4 minutes
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This comprehensive certification course is designed for data professionals aiming to master end-to-end analytics design, implementation, and management using Microsoft Fabric. Dive deep into Microsoft’s unified data platform and learn how to configure, secure, and orchestrate data solutions across Fabric’s integrated services, covering data engineering, data science, and business intelligence workloads. The course delivers approximately 6–7 hours of video lectures, combining conceptual understanding with hands-on demonstrations mapped to the official Microsoft Certified: Fabric Data Engineer Associate (Exam DP-700) objectives. Each module includes quizzes and in-video assessments to reinforce key learning outcomes and prepare you for real-world analytics challenges. Enroll in “Microsoft Fabric: Implement and Manage Analytics Solutions” to gain the expertise required to build, secure, and scale modern analytics environments in Microsoft Fabric. Course Modules: Implement and Manage an Analytics Solutions Ingest and transform data Monitor and optimize an analytics solution By end of this course, you will be able to learn about - You’ll explore Microsoft Fabric’s core architecture, ecosystem, and governance features, - You will learn how to administer environments, secure data access, and orchestrate analytics workflows through real-world examples and guided demos. - From CI/CD implementation and workspace management to security, compliance, and data pipeline orchestration, this course equips you with the expertise to operationalize analytics at scale in enterprise settings. As a candidate for this exam, you should have subject matter expertise with data loading patterns, data architectures, and orchestration processes. You work closely with analytics engineers, architects, analysts, and administrators to design and deploy data engineering solutions for analytics. You should be skilled at manipulating and transforming data by using Structured Query Language (SQL), PySpark, and Kusto Query Language (KQL).
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10 hours 23 minutes
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Welcome to Microsoft Fabric: Ingest and Transform Data, a hands-on course designed to help data professionals, engineers, and analytics practitioners build reliable and scalable data processing workflows in Microsoft Fabric. This course focuses on both batch and real-time data ingestion, transformation, and pipeline orchestration using Fabric components such as Eventstreams, KQL, Spark, Dataflows, and Pipelines. You’ll learn how to integrate structured and streaming data sources, apply data transformation logic, and prepare analytics-ready datasets for reporting and insight generation. Through guided demos and practical exercises, this course bridges the gap between data processing concepts and real-world implementation. This course delivers approximately 3+ hours of structured video instruction, combining conceptual foundations with hands-on demonstrations. The learning path is organized into two major modules, each focused on practical implementation techniques. To support reinforcement and skill retention, each module contains in-video checkpoints and short quizzes. Enroll in Microsoft Fabric: Ingest and Transform Data, and gain the practical skills needed to build data workflows that are reliable, real-time, and optimized for analytics and reporting. Course Modules: Module 1: Data Loading and Real-Time Processing in Microsoft Fabric. Learn how to design batch and streaming data loading patterns, ingest real-time data, perform filtering and aggregation, and create live dashboards using Fabric Eventstreams, KQL, and Spark. Module 2: Data Ingestion and Transformation in Microsoft Fabric. Build end-to-end data processing pipelines by choosing appropriate data stores, transforming data with PySpark/SQL/KQL, managing shortcuts, pipelines, mirroring, and applying data quality and governance techniques. By the End of This Course, You Will Be Able To: Design and implement performant batch and incremental data loading patterns in Microsoft Fabric. Ingest and process real-time streaming data using KQL, Eventstreams, and Spark Structured Streaming. Build complete data transformation pipelines using Dataflows, Notebooks, Mirroring, and Fabric Pipelines. Apply data transformation and quality techniques such as windowing, aggregation, deduplication, and denormalization. Deploy scalable, analytics-ready datasets for reporting, dashboards, and downstream insight generation. Who Should Take This Course? Data Engineers / Cloud Data Practitioners Power BI / Fabric Developers Data Analysts transitioning to end-to-end data workflows Professionals preparing for Microsoft Fabric certifications This course is designed for data professionals and cloud engineers looking to ingest, load, transform, and process data efficiently using Microsoft Fabric. You’ll explore how to build scalable data pipelines, integrate streaming and batch data sources, and perform real-time data processing using Fabric components such as Eventstreams, KQL, Spark, Dataflows, and Pipelines.
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13 hours 17 minutes
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Welcome to Microsoft Fabric: Monitor and Optimize Analytics Solutions, an advanced and hands-on course designed for data professionals who want to master monitoring, performance tuning, and troubleshooting within Microsoft Fabric’s unified analytics platform. This course teaches you how to ensure that Fabric workloads remain reliable, performant, and optimized for enterprise-scale analytics. This advanced course is designed for data engineers and analytics professionals who want to master performance optimization, monitoring, and troubleshooting within Microsoft Fabric. Throughout the course, you’ll explore how to design scalable semantic models, optimize enterprise-scale workloads, diagnose ingestion and transformation issues, and accelerate performance for lakehouses, Spark environments, event streams, and data warehouses. With 3+ hours of focused video content, the course blends conceptual understanding with real-world demonstrations inside Fabric. You will learn how to tune DAX, improve query performance, optimize pipelines, resolve Eventstream/Eventhouse errors, and manage large-scale data storage. Each module includes interactive quizzes and in-video checkpoints to reinforce learning. Enroll in Microsoft Fabric: Optimize, Monitor, and Troubleshoot Data Solutions to gain the skills needed to improve system reliability, maximize performance efficiency, and support enterprise-grade data workloads in Microsoft Fabric. Course Modules Module 1: Data Modeling and Optimization in Microsoft Fabric: Module 2: Monitoring, Optimization, and Troubleshooting in Microsoft Fabric Module 3: Data Engineering and Performance Optimization in Microsoft Fabric Recommended Background A basic understanding of Microsoft Fabric components such as Lakehouses, Warehouses, Pipelines, and Eventstreams. Familiarity with core data engineering concepts - data ingestion, transformation, modeling, and analytics workflows. Working knowledge of SQL or experience with Power BI; exposure to DAX or PySpark is helpful but not required. Foundational experience with cloud-based analytics platforms like Azure, Databricks, or Snowflake (optional but beneficial). Awareness of analytics workloads including dashboards, lakehouses, warehouses, and real-time streaming architectures. Interest in performance tuning, monitoring, and optimization of large-scale data workloads in modern analytics environments. By the End of This Course, You Will Be Able To: Monitor and troubleshoot data ingestion, transformation, and semantic models using Microsoft Fabric monitoring tools, alerts, and diagnostic views. Optimize performance for pipelines, notebooks, SQL endpoints, Eventstreams, Spark workloads, and semantic models across Fabric’s unified analytics engine. Identify, analyze, and resolve Fabric errors including T-SQL, Eventhouse, pipeline, and Dataflow errors using built-in debugging capabilities. Enhance enterprise-scale performance with best practices for query tuning, caching, incremental refresh, storage modes, and data optimization techniques. Operationalize and govern analytics solutions through proactive monitoring, alerting, and continuous performance improvement. Who Should Take This Course? This course is ideal for: Data Engineers working with performance-critical analytics workloads Fabric & Power BI Developers managing enterprise semantic models Data Architects & BI Engineers responsible for optimization at scale Analytics Administrators monitoring and maintaining Fabric environments Professionals preparing for Microsoft Fabric Associate or Expert certifications