- A
Use Azure RBAC to assign Storage Blob Data Reader to data scientists, and configure lifecycle management to move raw data to archive tier.
Why wrong: Lifecycle management doesn't anonymize.
- B
Assign Storage Blob Data Contributor RBAC role to data engineers at the storage account level, use ACLs to deny read access to raw data for data scientists, and enable diagnostic settings for read requests to Log Analytics.
Provides fine-grained control and auditing.
- C
Assign RBAC roles at the storage account level and enable Storage Analytics logs for read operations.
Why wrong: Storage Analytics logs are deprecated.
- D
Assign RBAC roles at the container level to grant read access to all users, and use Azure Policy to audit access.
Why wrong: No fine-grained control.
Quick Answer
The correct answer is to assign the Storage Blob Data Contributor RBAC role to data engineers at the storage account level, use ACLs to deny read access to raw data for data scientists, and enable diagnostic settings for read requests to Log Analytics. This solution works because Azure RBAC provides coarse, role-based permissions at the container or account level—ideal for granting broad read/write access to engineers—while POSIX-style ACLs deliver the fine-grained access control needed to deny specific users, like data scientists, access to sensitive raw files without affecting their ability to read anonymized data. On the DP-203 exam, this scenario tests your understanding of combining RBAC and ACLs for layered security, a common trap being the mistaken use of deprecated Storage Analytics logs instead of diagnostic settings for auditing read operations. Remember the layered approach: RBAC for the big picture, ACLs for the pixel-level control, and diagnostic settings to keep auditors in the loop—think “RBAC for the role, ACL for the file, Logs for the trail.”
DP-203 Practice Question: Secure, monitor, and optimize data storage and data processing
This DP-203 practice question tests your understanding of secure, monitor, and optimize data storage and data processing. The scenario asks you to isolate a root cause — eliminate options that address a different problem before choosing. 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.
Your company has a data lake in Azure Data Lake Storage Gen2 that stores sensitive customer information. You need to implement fine-grained access control so that data engineers can read all data, data scientists can read only anonymized data, and auditors can view access logs. The solution must use Azure role-based access control (RBAC) and access control lists (ACLs). You also need to enable auditing of read operations. What should you do?
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
Assign Storage Blob Data Contributor RBAC role to data engineers at the storage account level, use ACLs to deny read access to raw data for data scientists, and enable diagnostic settings for read requests to Log Analytics.
Option D is correct: Use Azure RBAC roles for coarse permissions (e.g., Storage Blob Data Contributor for engineers), use ACLs for fine-grained control (e.g., deny read for data scientists on raw data), and enable diagnostic settings to log read operations to Log Analytics. Option A is incorrect: Storage Analytics logs are deprecated. Option B is incorrect: Lifecycle management is for tiering, not access control. Option C is incorrect: RBAC only cannot provide granular control at file level.
Key principle: ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Use Azure RBAC to assign Storage Blob Data Reader to data scientists, and configure lifecycle management to move raw data to archive tier.
Why it's wrong here
Lifecycle management doesn't anonymize.
- ✓
Assign Storage Blob Data Contributor RBAC role to data engineers at the storage account level, use ACLs to deny read access to raw data for data scientists, and enable diagnostic settings for read requests to Log Analytics.
Why this is correct
Provides fine-grained control and auditing.
Related concept
Standard ACLs match source addresses.
- ✗
Assign RBAC roles at the storage account level and enable Storage Analytics logs for read operations.
Why it's wrong here
Storage Analytics logs are deprecated.
- ✗
Assign RBAC roles at the container level to grant read access to all users, and use Azure Policy to audit access.
Why it's wrong here
No fine-grained control.
Common exam traps
Common exam trap: ACLs stop at the first match
ACLs are processed top to bottom. The first matching entry wins, and an implicit deny usually exists at the end.
Detailed technical explanation
How to think about this question
ACL questions test precision: source, destination, protocol, port and direction. A generally correct ACL can still fail if it is applied on the wrong interface or in the wrong direction.
KKey Concepts to Remember
- Standard ACLs match source addresses.
- Extended ACLs can match source, destination, protocol and ports.
- The first matching ACL entry is used.
- There is usually an implicit deny at the end.
TExam Day Tips
- Check inbound versus outbound direction.
- Read the ACL from top to bottom.
- Look for a broader permit or deny above the intended line.
Key takeaway
ACLs process entries top to bottom and stop at the first match. Entry order and interface direction matter as much as the permit or deny statement.
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.
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DP-203 ACL questions on filtering logic and placement.
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FAQ
Questions learners often ask
What does this DP-203 question test?
Secure, monitor, and optimize data storage and data processing — This question tests Secure, monitor, and optimize data storage and data processing — Standard ACLs match source addresses..
What is the correct answer to this question?
The correct answer is: Assign Storage Blob Data Contributor RBAC role to data engineers at the storage account level, use ACLs to deny read access to raw data for data scientists, and enable diagnostic settings for read requests to Log Analytics. — Option D is correct: Use Azure RBAC roles for coarse permissions (e.g., Storage Blob Data Contributor for engineers), use ACLs for fine-grained control (e.g., deny read for data scientists on raw data), and enable diagnostic settings to log read operations to Log Analytics. Option A is incorrect: Storage Analytics logs are deprecated. Option B is incorrect: Lifecycle management is for tiering, not access control. Option C is incorrect: RBAC only cannot provide granular control at file level.
What should I do if I get this DP-203 question wrong?
Review ACL processing order, placement rules (standard near destination, extended near source), and inbound vs outbound direction. Study wildcard masks and implicit deny. Then practise related DP-203 ACL questions on filtering logic and placement.
What is the key concept behind this question?
Standard ACLs match source addresses.
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Last reviewed: Jun 21, 2026
This DP-203 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-203 exam.
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