The correct answer is to implement a medallion architecture with bronze, silver, and gold layers. This design pattern ensures data lake immutability by storing raw, unmodified data in the bronze layer, which acts as a single source of truth that cannot be altered, while the silver and gold layers handle cleansing and aggregation for both batch and streaming workloads. On the DP-203 exam, this question tests your understanding of lakehouse storage patterns versus traditional data modeling approaches; a common trap is confusing the medallion architecture with a star schema or data vault, which are not designed for immutability in a data lake. Remember the memory tip: "Bronze is the bedrock—never change it"—this reinforces that the bronze layer preserves the original ingested data, making it the foundation for reliable reprocessing and auditability.
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 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.
Option A is correct because a medallion architecture (bronze, silver, gold) is a common pattern for organizing data in a lakehouse, providing immutability in bronze, transformations in silver, and aggregations in gold. It supports both batch and streaming. Option B is wrong because a star schema is a dimensional modeling approach for data warehouses, not a storage pattern for immutability. Option C is wrong because a data vault is an enterprise data modeling pattern, not specifically for immutability in a lake. Option D is wrong because a normalized relational model is not suited for big data lake scenarios.
Key principle: NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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
Static NAT maps one inside address to one outside address.
✗
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: NAT rules depend on direction and matching traffic
NAT is not only about the public address. The inside/outside interface roles and the ACL or rule that matches traffic are just as important.
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
NAT questions usually test address translation, overload/PAT behaviour, static mappings and whether the right traffic is being translated. Read the interface direction and address terms carefully.
KKey Concepts to Remember
Static NAT maps one inside address to one outside address.
PAT allows many inside hosts to share one public address using ports.
Inside local and inside global describe the private and translated addresses.
NAT ACLs identify traffic for translation, not always security filtering.
TExam Day Tips
→Identify inside and outside interfaces first.
→Check whether the scenario needs static NAT, dynamic NAT or PAT.
→Do not confuse NAT matching ACLs with normal packet-filtering intent.
Key takeaway
NAT direction and interface roles matter as much as the IP address mapping. Inside/outside designation controls which traffic is translated.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
Develop data processing — This question tests Develop data processing — Static NAT maps one inside address to one outside address..
What is the correct answer to this question?
The correct answer is: Implement a medallion architecture with bronze, silver, and gold layers. — Option A is correct because a medallion architecture (bronze, silver, gold) is a common pattern for organizing data in a lakehouse, providing immutability in bronze, transformations in silver, and aggregations in gold. It supports both batch and streaming. Option B is wrong because a star schema is a dimensional modeling approach for data warehouses, not a storage pattern for immutability. Option C is wrong because a data vault is an enterprise data modeling pattern, not specifically for immutability in a lake. Option D is wrong because a normalized relational model is not suited for big data lake scenarios.
What should I do if I get this DP-203 question wrong?
Review the four NAT address types (inside local, inside global, outside local, outside global), PAT port overload, and static vs dynamic NAT use cases. Then practise related DP-203 NAT questions on configuration and troubleshooting.
What is the key concept behind this question?
Static NAT maps one inside address to one outside address.
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Question Discussion
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