Question 831 of 851
Design and implement data storagemediumMultiple ChoiceObjective-mapped

DP-203 Row-level security (RLS) 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. A key principle to apply: row-level security (RLS). 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 is designing a data lake on Azure Data Lake Storage Gen2. They need to enforce row-level security on the data for different departments. Which approach should they 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

Create views in Azure Synapse Serverless SQL with security predicates

Azure Synapse Serverless SQL supports row-level security through views that leverage the WHERE clause with user identity functions like SUSER_SNAME() to filter rows based on the user's department membership. This allows dynamic row filtering without duplicating data or managing separate files, and it is the only native Azure service that provides declarative row-level filtering directly on data stored in Azure Data Lake Storage Gen2.

Key principle: Row-level security (RLS)

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • Create views in Azure Synapse Serverless SQL with security predicates

    Why this is correct

    Serverless SQL can query ADLS and apply RLS via views.

    Related concept

    Row-level security (RLS)

  • Assign Azure RBAC roles for each department on the storage account

    Why it's wrong here

    RBAC roles control access at the storage account/container level, not rows.

  • Implement Azure Purview data policies for row-level security

    Why it's wrong here

    Purview does not enforce row-level security.

  • Use Azure Data Lake Storage Gen2 access control lists (ACLs) at the file level

    Why it's wrong here

    ACLs work at file/folder level, not row level.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse Azure RBAC or ACLs (which control access to storage objects) with row-level security (which controls access to rows within a data set), leading them to choose a storage-level permission model instead of a query-level filtering mechanism.

Detailed technical explanation

How to think about this question

Row-level security in Azure Synapse Serverless SQL is implemented by creating a security policy that uses an inline table-valued function as a filter predicate. This predicate is evaluated against the `USER_NAME()` or `SESSION_CONTEXT()` to dynamically restrict rows. Under the hood, the serverless SQL engine pushes the predicate down to the data source (e.g., Parquet files) to minimize data movement, making it efficient for large datasets.

KKey Concepts to Remember

  • Row-level security (RLS)
  • Azure Synapse Serverless SQL
  • Views with security filter
  • User identity functions

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

Row-level security (RLS)

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.

Quick reference

Cloud Service Model Comparison

ModelYou ManageProvider ManagesExamples
IaaSOS, runtime, apps, dataHardware, hypervisor, networkingEC2, Azure VMs, GCP Compute Engine
PaaSApps and dataOS, runtime, middleware, hardwareElastic Beanstalk, Azure App Service
SaaSData and settings onlyEverything elseMicrosoft 365, Salesforce, Workday
FaaS / ServerlessFunction code onlyInfra, scaling, runtimeLambda, Azure Functions, Cloud Run
CaaSContainers and appsKubernetes, OS, hardwareEKS, AKS, GKE

What to study next

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Review row-level security (RLS), then practise related DP-203 questions on the same topic to reinforce the concept.

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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 — Row-level security (RLS).

What is the correct answer to this question?

The correct answer is: Create views in Azure Synapse Serverless SQL with security predicates — Azure Synapse Serverless SQL supports row-level security through views that leverage the WHERE clause with user identity functions like SUSER_SNAME() to filter rows based on the user's department membership. This allows dynamic row filtering without duplicating data or managing separate files, and it is the only native Azure service that provides declarative row-level filtering directly on data stored in Azure Data Lake Storage Gen2.

What should I do if I get this DP-203 question wrong?

Review row-level security (RLS), then practise related DP-203 questions on the same topic to reinforce the concept.

What is the key concept behind this question?

Row-level security (RLS)

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Last reviewed: Jun 24, 2026

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