Microsoft Fabric Analytics Engineer (DP-600T00/ DP-600 Certification Exam Prep)
The world generates an estimated 463 exabytes of data every day, yet most organizations lack the engineering expertise to turn that raw information into actionable insights. Data silos, inefficient pipelines, and unsecured models leave businesses struggling to scale analytics effectively.
Microsoft Fabric Analytics Engineer (DP-600T00 / DP-600 Certification Exam Prep) solves this by preparing data professionals to design, implement, and manage enterprise-grade analytics with Microsoft Fabric. You’ll orchestrate dataflows and pipelines, apply Spark and Delta Lake for processing, and build secure lakehouses, warehouses, and semantic models that support enterprise-scale reporting.
With hands-on labs and official Microsoft courseware, this course also provides structured preparation for the Microsoft Certified: Fabric Analytics Engineer Associate exam.
What Is Included
- Expert-led training with real-world scenarios
- Official Microsoft courseware and supplemental materials
- Certificate of completion
- Hands-on labs and interactive exercises
- Access to class recordings for 90 days (if applicable)
- Guaranteed-to-run dates (if applicable)
- Flexible rescheduling options (see conditions)
- Free retake options
By the end of this course, participants will be able to design, implement, and manage Microsoft Fabric solutions that support analytics across the enterprise. You’ll gain the skills to prepare, transform, secure, and govern data using Fabric’s advanced features.
- Build and manage lakehouses, dataflows, and data warehouses in Microsoft Fabric
- Apply Apache Spark and Delta Lake for data processing and analytics
- Orchestrate data pipelines for enterprise workflows
- Design semantic models and optimize performance in Power BI
- Administer Fabric environments and govern data with Microsoft Purview
This course is designed for data professionals, analytics engineers, and BI developers who are responsible for preparing, modeling, analyzing, and securing enterprise-scale data. It’s ideal for those already skilled in SQL, DAX, or KQL, and who want to leverage Microsoft Fabric for advanced analytics engineering.
- PL-300 certification or equivalent Power BI expertise
- Experience with SQL, KQL, or DAX
- Familiarity with enterprise-level data modeling, transformation, and deployment
- End-to-end analytics overview.
- Data teams and Fabric roles.
- Enable and use Fabric.
- Explore and manage Fabric lakehouses.
- Transform and analyze data.
- Use Apache Spark (dataframes, SQL, notebooks, visualization).
- Create, optimize, and manage Delta tables.
- Work with streaming data.
- Real-Time Intelligence: ingest, store, query, visualize, and automate.
- Build pipelines, monitor and run activities.
- Use Dataflows Gen2 and integrate with pipelines.
- Fundamentals of Fabric data warehouses.
- Load and transform data (pipelines, T-SQL, Dataflows Gen2).
- Query with SQL editor, visual query editor, and client tools.
- Monitor performance and activity.
- Apply warehouse security (row-level, column-level, permissions).
- Design scalable semantic models and storage modes.
- Write and optimize DAX.
- Performance tuning (relationships, cardinality, aggregations).
- Create reusable Power BI assets and manage lifecycle with XMLA.
- Apply Power BI model security.
- Fabric architecture and administrator role.
- Manage security and permissions at workspace/item level.
- Govern data with Microsoft Purview.
- Apply Fabric capabilities to design an end-to-end analytics solution.