Question 123 of 760
DP-203 Develop data processing Practice Question
You are designing a data processing solution in Azure using Azure Data Lake Storage Gen2 as the storage layer. You need to ensure that data ingested from various sources is immutable and can be used for both batch and streaming workloads. Which storage design pattern should you implement?
⚠ Common exam trap
A common mix-up: candidates confuse data modeling patterns (star schema, data vault) with storage layer design patterns, assuming any structured approach ensures immutability, when in fact only the medallion architecture explicitly separates raw immutable storage from refined layers for batch and streaming workloads.
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
✓
Implement a medallion architecture with bronze, silver, and gold layers.
The medallion architecture (bronze, silver, gold) is the correct pattern because it enforces immutability at the bronze layer (raw ingested data is never modified), while providing progressively refined, query-optimized views for both batch and streaming workloads in Azure Data Lake Storage Gen2. This design supports schema-on-read, enables reprocessing from raw data, and aligns with lakehouse principles for unified analytics.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Store data in a normalized relational database structure.
Why it's wrong here
Normalized relational models are not optimal for big data lake scenarios.
- ✓
Implement a medallion architecture with bronze, silver, and gold layers.
Why this is correct
The medallion architecture provides data immutability and supports both processing paradigms.
- ✗
Use a data vault model with hubs, links, and satellites.
Why it's wrong here
Data vault is for enterprise data warehousing, not specifically for lake storage.
- ✗
Design a star schema with fact and dimension tables.
Why it's wrong here
Star schema is for dimensional modeling, not for immutability or streaming.
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Last reviewed: Jul 4, 2026
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