Question 779 of 851
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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.

A company uses Azure Data Lake Storage Gen2 as the data lake. The data engineering team needs to ensure that sensitive data such as credit card numbers are masked when queried by non-admin users. The solution must be implemented within the data lake without moving data to another store. Which TWO features should they use? (Choose two.)

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

Azure Synapse Serverless SQL with dynamic data masking

Option C is correct because Azure Synapse Serverless SQL can query data directly from Azure Data Lake Storage Gen2 and supports dynamic data masking (DDM) to obfuscate sensitive columns like credit card numbers from non-admin users. This allows masking to be applied at query time without moving or transforming the underlying data in the lake.

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.

  • Azure Policy to audit access

    Why it's wrong here

    Auditing, not masking.

  • Azure SQL Database dynamic data masking

    Why it's wrong here

    Does not apply to data lake directly.

  • Azure Synapse Serverless SQL with dynamic data masking

    Why this is correct

    Can mask data in queries over external tables.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Microsoft Purview data classification and labeling

    Why this is correct

    Helps identify sensitive columns.

    Related concept

    Read the scenario before looking for a memorised answer.

  • Azure Storage blob-level access policies

    Why it's wrong here

    Controls access, not masking.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates often confuse dynamic data masking in Azure SQL Database (which requires data to be in a relational store) with the ability to mask data in place in the data lake using Azure Synapse Serverless SQL, and they may overlook Microsoft Purview's role in classifying and labeling sensitive data as a prerequisite for applying masking policies.

Detailed technical explanation

How to think about this question

Azure Synapse Serverless SQL uses an external data source pointing to the data lake and applies DDM via the CREATE MASKING FUNCTION statement on views or external tables. The masking is enforced at the SQL query layer, meaning the underlying Parquet/CSV files remain unchanged, and non-admin users see masked values only when querying through Synapse Serverless SQL. This approach avoids data duplication and leverages the lake's native storage format.

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.

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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FAQ

Questions learners often ask

What does this DP-203 question test?

Develop data processing — This question tests Develop data processing — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Synapse Serverless SQL with dynamic data masking — Option C is correct because Azure Synapse Serverless SQL can query data directly from Azure Data Lake Storage Gen2 and supports dynamic data masking (DDM) to obfuscate sensitive columns like credit card numbers from non-admin users. This allows masking to be applied at query time without moving or transforming the underlying data in the lake.

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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Last reviewed: Jul 4, 2026

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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.