Question 419 of 846
Design and implement data storageeasyMultiple ChoiceObjective-mapped

Quick Answer

The answer is Azure Data Lake Storage Gen2. This service is the correct choice because it combines the scalable, append-friendly architecture of Blob Storage with a hierarchical namespace, enabling SQL-based querying of streaming IoT data in near real-time via Azure Synapse Serverless SQL or PolyBase. The append-blob pattern, where data is written every minute, is natively supported, and the SQL interface—such as OPENROWSET—can query the data directly without moving it. On the DP-203 exam, this scenario tests your understanding of how ADLS Gen2 bridges Blob Storage’s cost-effective ingestion with analytical querying, often appearing as a trap where candidates mistakenly choose Azure Stream Analytics or Event Hubs for the SQL interface, forgetting that the question specifies querying data already stored in Blob Storage. Memory tip: think “Blob + SQL = ADLS Gen2” for near-real-time queries on appended IoT data.

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.

A company stores IoT sensor data in Azure Blob Storage. The data is appended every minute and must be queried in near real-time using a SQL interface. Which Azure service should be used to enable this?

Question 1easymultiple choice
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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 Data Lake Storage Gen2

Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it combines Blob Storage's scalable, append-friendly architecture with a hierarchical namespace and full POSIX-like ACLs, enabling SQL-based querying via Azure Synapse Serverless SQL or PolyBase. The append-blob pattern (every-minute writes) is natively supported, and the SQL interface (e.g., OPENROWSET) can query the data in near real-time without moving it.

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 Cosmos DB

    Why it's wrong here

    Incorrect. Cosmos DB is a NoSQL database, not a SQL query interface over Blob Storage.

  • Azure SQL Database

    Why it's wrong here

    Incorrect. SQL Database is a relational database, not a query layer over Blob Storage.

  • Azure Synapse SQL Pool

    Why it's wrong here

    Incorrect. SQL Pool is a dedicated, provisioned resource for data warehousing, not for near real-time queries on Blob Storage directly.

  • Azure Data Lake Storage Gen2

    Why this is correct

    Correct. Data Lake Storage Gen2 enables SQL queries via Azure Synapse Serverless SQL.

    Related concept

    Read the scenario before looking for a memorised answer.

Common exam traps

Common exam trap: answer the scenario, not the keyword

The trap here is that candidates confuse 'SQL interface' with a traditional relational database (like Azure SQL Database) or a NoSQL store (like Cosmos DB), missing that ADLS Gen2 paired with Synapse Serverless SQL provides a schema-on-read SQL layer directly over blob data.

Detailed technical explanation

How to think about this question

ADLS Gen2 exposes a hierarchical namespace that allows SQL engines like Synapse Serverless SQL to treat blob containers as external tables using the OPENROWSET function with CSV/Parquet/JSON formats. The append-blob type in Azure Blob Storage supports atomic appends (up to 4 MB per append), making it ideal for IoT telemetry that arrives every minute. Under the hood, ADLS Gen2 uses Azure Blob Storage's REST API (version 2018-11-09+) with additional directory operations, enabling SQL-based queries via the T-SQL language without data movement.

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.

What to study next

Got this wrong? Here's your next step.

Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.

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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 — Read the scenario before looking for a memorised answer..

What is the correct answer to this question?

The correct answer is: Azure Data Lake Storage Gen2 — Azure Data Lake Storage Gen2 (ADLS Gen2) is the correct choice because it combines Blob Storage's scalable, append-friendly architecture with a hierarchical namespace and full POSIX-like ACLs, enabling SQL-based querying via Azure Synapse Serverless SQL or PolyBase. The append-blob pattern (every-minute writes) is natively supported, and the SQL interface (e.g., OPENROWSET) can query the data in near real-time without moving it.

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: Jun 11, 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.