The answer is Access control lists (ACLs), along with enabling blob versioning and integrating with Microsoft Purview. ACLs provide the fine-grained, POSIX-like permissions necessary for a multi-team data lake in Azure Data Lake Storage Gen2, allowing you to set read, write, and execute permissions at the directory or file level for specific users or groups. Blob versioning automatically preserves, manages, and restores previous versions of files, directly supporting the versioning requirement. Microsoft Purview integration enables automated scanning, classification, and lineage tracking, fulfilling the data cataloging need. On the DP-203 exam, this scenario tests your understanding of how ADLS Gen2’s hierarchical namespace supports enterprise-grade access control and governance, often contrasting ACLs with simpler container-level permissions. A common trap is choosing Azure RBAC alone, which lacks the granularity for team-level isolation. Memory tip: think “A-V-P” for Access, Versioning, and Purview—the three pillars of a governed multi-team lake.
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 need to design a storage solution for a data lake that will be used by multiple teams for analytics. The solution must support fine-grained access control, versioning of files, and integration with Azure Purview for data cataloging. Which THREE features should you enable in Azure Data Lake Storage Gen2?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Integration with Microsoft Purview
Option A is correct because Microsoft Purview integration is required for data cataloging, enabling automated scanning, classification, and lineage tracking of data stored in Azure Data Lake Storage Gen2. This directly supports the requirement for data cataloging in the scenario.
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.
✓
Integration with Microsoft Purview
Why this is correct
Purview integrates with Data Lake Storage for data cataloging.
Related concept
Read the scenario before looking for a memorised answer.
✗
Managed identity authentication
Why it's wrong here
Managed identity is an authentication method, not a feature of Data Lake Storage.
✓
Blob versioning
Why this is correct
Versioning allows maintaining multiple versions of a file.
Related concept
Read the scenario before looking for a memorised answer.
✓
Access control lists (ACLs)
Why this is correct
ACLs provide fine-grained permissions for directories and files.
Related concept
Read the scenario before looking for a memorised answer.
✗
Soft delete
Why it's wrong here
Soft delete is for recovering deleted data, not versioning.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse soft delete with versioning, but soft delete only recovers deleted blobs for a retention period, whereas versioning maintains all overwrites and deletes as separate versions for granular recovery and audit.
Detailed technical explanation
How to think about this question
Azure Data Lake Storage Gen2 combines blob storage with a hierarchical namespace, allowing ACLs to be applied at the directory or file level using POSIX-like permissions. Blob versioning preserves previous versions of a file, enabling rollback and audit trails, while Purview integration uses Apache Atlas APIs to scan and catalog metadata across the lake.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-203 question in full detail.
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: Integration with Microsoft Purview — Option A is correct because Microsoft Purview integration is required for data cataloging, enabling automated scanning, classification, and lineage tracking of data stored in Azure Data Lake Storage Gen2. This directly supports the requirement for data cataloging in the scenario.
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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Question Discussion
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