Quick Answer
The correct answer is Azure Synapse Serverless SQL because it enables you to query blob storage with SQL serverless capabilities directly, using standard T-SQL without moving data into a separate warehouse. This service acts as a distributed query engine that reads files in place, supporting formats like Parquet, CSV, and JSON—perfect for your IoT sensor data. On the DP-900 exam, this scenario tests your understanding of serverless versus dedicated options; a common trap is choosing Azure SQL Database or Azure Data Lake, which either require data movement or lack native SQL querying over blob storage. Remember, if the question emphasizes “no data movement” and “ad-hoc SQL on files,” think Synapse Serverless SQL. Memory tip: “Serverless stays in place—no warehouse, no moving, just query the blob space.”
This DP-900 practice question tests your understanding of describe core data concepts. 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.
Your company stores IoT sensor data in Azure Blob Storage. Data analysts need to query the data using SQL without moving it. Which Azure service should you use?
Azure Stream Analytics
Why wrong: Designed for real-time stream processing, not ad-hoc SQL queries on stored data.
Azure Data Lake Storage
Why wrong: It is a storage service, not a query engine.
Azure Synapse Serverless SQL
Allows querying data in Azure Blob Storage using T-SQL without moving it.
Azure SQL Database
Why wrong: Requires data to be imported into the database.
Answer choices
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
Azure Synapse Serverless SQL is the correct choice because it provides a SQL-based query engine that can directly query data stored in Azure Blob Storage using T-SQL, without requiring data movement or a dedicated data warehouse. It uses a pay-per-query model and supports reading various file formats like Parquet, CSV, and JSON, making it ideal for ad-hoc analytical queries on IoT sensor data.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Stream Analytics
Why it's wrong here
Designed for real-time stream processing, not ad-hoc SQL queries on stored data.
Azure Data Lake Storage
Why it's wrong here
It is a storage service, not a query engine.
Azure Synapse Serverless SQL
Why this is correct
Allows querying data in Azure Blob Storage using T-SQL without moving it.
Related concept
Read the scenario before looking for a memorised answer.
Azure SQL Database
Why it's wrong here
Requires data to be imported into the database.
Common exam traps
The trap here is that candidates often confuse Azure Synapse Serverless SQL with Azure SQL Database, mistakenly thinking any 'SQL' service can query external storage, but Azure SQL Database requires data to be loaded into its own tables, while Serverless SQL queries data in place.
Detailed technical explanation
Azure Synapse Serverless SQL uses a distributed query engine that leverages the storage layer's partitioning and file statistics to optimize query performance, reading only the necessary data. It supports OPENROWSET and external tables to reference data in Blob Storage or Data Lake Storage, and can infer schemas from file headers. In a real-world scenario, a data analyst could query terabytes of IoT sensor data stored as partitioned Parquet files in Blob Storage with a simple SELECT statement, paying only for the data scanned.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
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FAQ
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Synapse Serverless SQL — Azure Synapse Serverless SQL is the correct choice because it provides a SQL-based query engine that can directly query data stored in Azure Blob Storage using T-SQL, without requiring data movement or a dedicated data warehouse. It uses a pay-per-query model and supports reading various file formats like Parquet, CSV, and JSON, making it ideal for ad-hoc analytical queries on IoT sensor data.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Same concept, more angles
These questions test the same concept from different angles. Work through them to make sure you can recognise it however the exam phrases it.
Variation 1. A company stores customer transaction data in Azure Blob Storage. They need to query the data using SQL-based tools without moving the data. Which Azure service should they use?
easyWhy D: Azure Synapse Serverless SQL pool allows you to query data directly from Azure Blob Storage using T-SQL without moving or copying the data. It uses a pay-per-query model and supports reading common file formats like Parquet, CSV, and JSON, making it ideal for ad-hoc querying over data lakes.
Variation 2. A company stores IoT sensor data in Azure Blob Storage. Data scientists need to query the data using SQL without moving it to another store. Which Azure service should they use?
mediumWhy A: Azure Synapse Serverless SQL pool allows you to query data directly from Azure Blob Storage using T-SQL without moving or copying the data. It uses a distributed query engine that reads files (Parquet, CSV, JSON) in place, making it ideal for ad-hoc analytics over IoT sensor data stored in Blob Storage.
Variation 3. Your organization wants to run SQL queries on data stored in Azure Blob Storage without moving the data. Which Azure service supports this?
easyWhy C: Azure Synapse Serverless SQL pool allows you to query data directly from Azure Blob Storage using T-SQL without moving the data. It uses a distributed query engine that reads files in place, supporting formats like Parquet, CSV, and JSON, making it ideal for ad-hoc analytics on stored data.
Last reviewed: Jun 24, 2026
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