Question 859 of 820
DP-900 Describe an analytics workload on Azure Practice Question
Which THREE components are part of Microsoft Fabric's end-to-end analytics platform? (Choose three.)
⚠ Common exam trap
Watch out — candidates often confuse Azure Machine Learning as part of Fabric because both involve AI/analytics, but Fabric's scope is limited to integrated data engineering, lakehouse, and BI components, excluding dedicated ML services.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Synapse Data Engineering
Synapse Data Engineering is a core component of Microsoft Fabric, providing a unified platform for data ingestion, transformation, and orchestration using Spark and pipelines. It integrates seamlessly with OneLake for storage and Power BI for visualization, forming part of Fabric's end-to-end analytics solution.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Synapse Data Engineering
Why this is correct
Synapse Data Engineering is a core Fabric workload designed for large-scale data transformation and preparation. It provides a Spark-based environment where users can author and run notebooks, dataflows, and Spark jobs, with results stored directly into OneLake. This workload is essential to the end-to-end pipeline because it turns raw data into cleaned, structured datasets that later power reporting and analysis.
- ✗
Azure Machine Learning
Why it's wrong here
Azure Machine Learning is a standalone Azure service for building, training, and deploying machine learning models, not a component inside Microsoft Fabric. While Fabric does offer AI capabilities, such as built-in AI functions and integration with Azure AI, Azure Machine Learning itself is a separate product. Therefore, it should not be listed as one of the three components of Fabric.
- ✓
OneLake
Why this is correct
OneLake is the unified, logical data lake that serves as the foundational storage layer for all of Microsoft Fabric. It automatically organizes data into domains and workspaces, supports different file formats such as Delta and Parquet, and is accessible by all Fabric workloads. Without OneLake, the other components would lack a shared, consistent data foundation.
- ✓
Power BI
Why this is correct
Power BI is deeply integrated into Fabric as a workload that provides business intelligence, including semantic models, reports, and dashboards. In Fabric, Power BI can directly query data stored in OneLake, eliminating the need to copy data between separate systems. This integration makes Power BI a critical component for deriving insights and completing the analytics workflow.
- ✗
Azure DevOps
Why it's wrong here
Azure DevOps is a separate suite of services for CI/CD, version control, and project management, and it is not part of Microsoft Fabric's core architecture. Fabric does offer deployment pipelines for governance, but these are built-in features, not Azure DevOps itself. Thus, Azure DevOps is an external tool that may integrate with Fabric but is not one of its three components.
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Last reviewed: Jun 24, 2026
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