The DP-600 certification course is designed for data professionals, analysts, and developers who want to master Microsoft Fabric for implementing robust analytics solutions. This course covers key concepts such as data ingestion, transformation, modeling, and visualization, enabling learners to design and deploy scalable end-to-end analytics solutions within the Microsoft ecosystem.
Exam Prep DP-600: Microsoft Fabric Analytics Engineer
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
12 hours to complete
3 weeks at 4 hours a week
Flexible schedule
Learn at your own pace
Details to know
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Recently updated!
February 2025
Assessments
10 assignments
Taught in English
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There are 3 modules in this course
Welcome to Week 1 of the Exam Prep DP-600: Microsoft Fabric Analytics Engineer Associate course. In this week, you will understand the core concepts and terminology of data analytics, how to design a robust and scalable data analytics environment, and Build and administer a functional data analytics environment. By the end of this week, you will be able to understand how to effectively manage the lifecycle of data analytics solutions.
What's included
17 videos3 readings3 assignments1 discussion prompt
Welcome to Week 2 of the Exam Prep DP-600: Microsoft Fabric Analytics Engineer Associate course. This week, you will understand how to develop and manage tables, views, and other database objects within a Lakehouse or Warehouse and build and manage data pipelines in Fabric for efficient data movement and transformation. By the end of this week, you will be able to understand how to prepare and transform Lakehouse data using Spark, Data Factory, or SQL for analysis.
What's included
17 videos1 reading3 assignments
Welcome to Week 3 of the Exam Prep DP-600: Microsoft Fabric Analytics Engineer Associate course. This week, you will understand how to develop and implement robust semantic models that meet business requirements, Optimize semantic models for performance, scalability, and maintainability in enterprise environments, and analyze data using appropriate tools, and techniques to derive insights. By the end of this week, you will get a conclusion of how to summarize key concepts and apply learned skills to real-world data analytics scenarios.
What's included
19 videos2 readings4 assignments
Instructor
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