- A
Organize by ingestion date only, with subfolders for each source.
Why wrong: Date-only organization lacks processing stage separation.
- B
Organize by source system, then by date.
Why wrong: By source does not separate raw vs. processed data.
- C
Use a medallion architecture with three layers: bronze (raw), silver (cleaned), gold (aggregated).
Medallion architecture provides clear separation and lineage.
- D
Organize by file format (CSV, Parquet, JSON) and date.
Why wrong: File format organization does not reflect data transformation stages.
Quick Answer
The correct choice is the medallion architecture with bronze, silver, and gold layers for organizing your Azure Data Lake Storage Gen2 data. This pattern is technically superior because it separates raw ingested data in the bronze layer from progressively cleaned and transformed data in the silver layer, while the gold layer holds business-ready aggregations, making it ideal for handling multiple sources with varying schemas. On the Microsoft Azure Data Engineer Associate DP-203 exam, this question tests your understanding of data lake organization patterns that support both batch and streaming analytics without sacrificing data lineage. A common trap is choosing a single-layer structure or a schema-on-write approach, which breaks lineage and fails to handle schema drift. Remember the memory tip: Bronze for raw, Silver for clean, Gold for gleam—each layer adds value while preserving the audit trail.
DP-203 Design and implement data storage Practice Question
This DP-203 practice question tests your understanding of design and implement data storage. 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 lake architecture using Azure Data Lake Storage Gen2. The data will be ingested from multiple sources with varying schemas. You need to organize the data in a way that supports both batch and streaming analytics while maintaining data lineage. Which folder structure convention should you use?
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
Use a medallion architecture with three layers: bronze (raw), silver (cleaned), gold (aggregated).
Option C is correct because the medallion architecture (bronze, silver, gold) is the recommended pattern for Azure Data Lake Storage Gen2 when handling multiple sources with varying schemas. It supports both batch and streaming by storing raw data in bronze, applying incremental transformations in silver, and serving aggregated views in gold, while maintaining data lineage through clear layer boundaries and audit columns.
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.
- ✗
Organize by ingestion date only, with subfolders for each source.
Why it's wrong here
Date-only organization lacks processing stage separation.
- ✗
Organize by source system, then by date.
Why it's wrong here
By source does not separate raw vs. processed data.
- ✓
Use a medallion architecture with three layers: bronze (raw), silver (cleaned), gold (aggregated).
Why this is correct
Medallion architecture provides clear separation and lineage.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Organize by file format (CSV, Parquet, JSON) and date.
Why it's wrong here
File format organization does not reflect data transformation stages.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often choose Option B (source then date) because it seems logical for organization, but they overlook the requirement to support both batch and streaming analytics while maintaining data lineage, which the medallion architecture explicitly addresses through layered transformations.
Detailed technical explanation
How to think about this question
The medallion architecture leverages Azure Data Lake Storage Gen2's hierarchical namespace to enforce access control lists (ACLs) per layer, enabling fine-grained permissions for raw, cleaned, and aggregated data. Under the hood, Delta Lake can be used within each layer to provide ACID transactions and schema enforcement, which is critical for streaming workloads that require exactly-once semantics. A real-world scenario involves ingesting IoT sensor data (bronze), deduplicating and normalizing it (silver), and then computing hourly averages (gold) for Power BI dashboards.
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?
Design and implement data storage — This question tests Design and implement data storage — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Use a medallion architecture with three layers: bronze (raw), silver (cleaned), gold (aggregated). — Option C is correct because the medallion architecture (bronze, silver, gold) is the recommended pattern for Azure Data Lake Storage Gen2 when handling multiple sources with varying schemas. It supports both batch and streaming by storing raw data in bronze, applying incremental transformations in silver, and serving aggregated views in gold, while maintaining data lineage through clear layer boundaries and audit columns.
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: Jun 24, 2026
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