- A
Store data in a normalized relational database structure.
Why wrong: Normalized relational models are not optimal for big data lake scenarios.
- B
Implement a medallion architecture with bronze, silver, and gold layers.
The medallion architecture provides data immutability and supports both processing paradigms.
- C
Use a data vault model with hubs, links, and satellites.
Why wrong: Data vault is for enterprise data warehousing, not specifically for lake storage.
- D
Design a star schema with fact and dimension tables.
Why wrong: Star schema is for dimensional modeling, not for immutability or streaming.
Question 123 of 851
DP-203 Develop data processing Practice Question
This DP-203 practice question tests your understanding of develop data processing. Match the stated requirement to the specific cloud service, access model, or configuration option — many options are valid in isolation but not for this scenario. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
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?
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.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
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.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
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.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that 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.
Trap categories for this question
Scenario analysis trap
Normalized relational models are not optimal for big data lake scenarios.
Detailed technical explanation
How to think about this question
Under the hood, the bronze layer stores data in its original format (e.g., Parquet, JSON, Avro) with append-only writes, ensuring immutability; the silver layer performs cleansing and deduplication, while the gold layer aggregates into business-ready structures. This pattern leverages Azure Data Lake Storage Gen2's hierarchical namespace and POSIX-like ACLs to enforce immutability at the file level, and Delta Lake (or similar) can provide ACID transactions on top of the bronze layer for streaming consistency.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A media company stores terabytes of video archives that are accessed once a year for audit purposes. Moving these objects to a cold storage tier (Azure Archive, S3 Glacier, or Google Nearline) costs a fraction of hot storage. Questions like this test whether you understand storage tiers, access frequency tradeoffs, and retrieval latency requirements.
What to study next
Got this wrong? Here's your next step.
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FAQ
Questions learners often ask
What does this DP-203 question test?
Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: 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.
What should I do if I get this DP-203 question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jul 4, 2026
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