DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload on azure. 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.
A company uses Azure Data Lake Storage Gen2 as a data lake. They need to enforce row-level security for sensitive data so that sales representatives can only see rows for their assigned region. Which approach should they use?
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Load data into Azure Synapse Analytics dedicated SQL pool and implement row-level security (RLS)
Row-level security (RLS) in Azure Synapse Analytics dedicated SQL pool allows you to restrict data access at the row level based on a user's identity or group membership. By loading the data into a dedicated SQL pool and defining a security policy with a predicate function that filters rows by region, you can ensure sales representatives only see rows for their assigned region. This is the correct approach because RLS is designed specifically for this purpose and integrates with Azure Active Directory for user authentication.
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.
✗
Apply sensitivity labels in Microsoft Purview
Why it's wrong here
Purview labels classify data but do not enforce row-level access control.
✓
Load data into Azure Synapse Analytics dedicated SQL pool and implement row-level security (RLS)
Why this is correct
Synapse SQL pool supports RLS to restrict row-level access based on user attributes.
Related concept
Read the scenario before looking for a memorised answer.
✗
Use Azure RBAC roles on the storage account
Why it's wrong here
RBAC provides access at the storage account or container level, not row-level.
✗
Use Azure Data Lake Storage Gen2 access control lists (ACLs) on folders per region
Why it's wrong here
ACLs work at file/folder level, not row level within files.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse storage-level access controls (ACLs, RBAC) with data-level security (RLS), assuming that folder-per-region ACLs can achieve row-level filtering, but ACLs cannot filter rows within a file.
Detailed technical explanation
How to think about this question
Row-level security in Azure Synapse Analytics works by creating a security policy that uses a predicate function (e.g., a table-valued function) to filter rows based on the USER_NAME() or SESSION_CONTEXT() function. The predicate is evaluated at query runtime, so users see only the rows they are authorized to view, even if they run ad-hoc queries. In a real-world scenario, you might map sales representatives to region IDs via a lookup table and use that in the predicate to enforce access without duplicating data.
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-900 question in full detail.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Load data into Azure Synapse Analytics dedicated SQL pool and implement row-level security (RLS) — Row-level security (RLS) in Azure Synapse Analytics dedicated SQL pool allows you to restrict data access at the row level based on a user's identity or group membership. By loading the data into a dedicated SQL pool and defining a security policy with a predicate function that filters rows by region, you can ensure sales representatives only see rows for their assigned region. This is the correct approach because RLS is designed specifically for this purpose and integrates with Azure Active Directory for user authentication.
What should I do if I get this DP-900 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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