DP-203 Design and implement data storage Practice Question
Which THREE components are required to implement a modern data warehouse architecture on Microsoft Azure using Azure Synapse Analytics?
⚠ Common exam trap
The trap here is that candidates often mistake Power BI as a required architectural component, but it is only a visualization tool, not a core storage or compute layer in the modern data warehouse stack.
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
✓
Microsoft Purview for data governance and lineage.
Microsoft Purview is required for data governance and lineage in a modern data warehouse architecture on Azure because it provides a unified data governance service that helps manage and monitor data across on-premises, multi-cloud, and SaaS sources. It enables automated data discovery, classification, and lineage tracking, which are essential for compliance and data quality in a modern analytics environment.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Microsoft Purview for data governance and lineage.
Why this is correct
Purview provides metadata management and data discovery.
- ✗
Power BI as the data visualization layer.
Why it's wrong here
Power BI is a presentation tool, not a core component of the data warehouse.
- ✓
Azure Data Lake Storage Gen2 as the data lake.
Why this is correct
ADLS Gen2 serves as the scalable storage layer.
- ✗
Azure Analysis Services for semantic modeling.
Why it's wrong here
Analysis Services is optional; Synapse provides built-in modeling.
- ✓
Azure Synapse dedicated SQL pool for data warehousing.
Why this is correct
Synapse SQL pool provides the relational data warehouse engine.
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