Quick Answer
The answer is Azure Synapse Analytics serverless SQL pool because it enables serverless SQL query over JSON files stored in Azure Data Lake Storage or Blob Storage using standard T-SQL, with no infrastructure to manage and a pay-per-query billing model that fits a limited budget. This service directly addresses the need to run SQL-based queries on semi-structured JSON data and integrate with Power BI for reporting, all while minimizing management overhead. On the DP-900 exam, this scenario tests your understanding of which Azure analytics service supports serverless, on-demand querying of file-based data versus provisioned alternatives like dedicated SQL pools or Azure SQL Database. A common trap is choosing Azure Data Lake Analytics, but that requires U-SQL and does not natively support standard SQL queries. Remember the memory tip: “JSON + SQL + serverless = Synapse Serverless SQL pool.”
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.
A small business wants to use Azure to store and analyze customer feedback from surveys. The surveys are collected via a web app and stored as JSON files. The business needs to run SQL-based queries on the data and generate reports in Power BI. They have a limited budget and prefer a serverless option to minimize management overhead. Which Azure service should they use?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Azure Analysis Services
Why wrong: Additional cost and management.
Azure Databricks
Why wrong: Requires cluster management and higher cost.
Azure Synapse Analytics serverless SQL pool
Serverless, pay-per-query, can query JSON directly.
Azure SQL Database
Why wrong: Requires provisioning and ongoing cost.
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 Analytics serverless SQL pool
Azure Synapse Analytics serverless SQL pool is the correct choice because it allows you to query JSON files directly from Azure Data Lake Storage or Blob Storage using standard T-SQL, without provisioning any infrastructure. It is serverless (pay-per-query), supports SQL-based queries, and integrates seamlessly with Power BI for reporting, making it ideal for a small business with a limited budget and minimal management overhead.
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 Analysis Services
Why it's wrong here
Additional cost and management.
Azure Databricks
Why it's wrong here
Requires cluster management and higher cost.
Azure Synapse Analytics serverless SQL pool
Why this is correct
Serverless, pay-per-query, can query JSON directly.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Azure SQL Database
Why it's wrong here
Requires provisioning and ongoing cost.
Common exam traps
The trap here is that candidates often confuse 'serverless' with 'fully managed' and choose Azure SQL Database (which is managed but not serverless in the pay-per-query sense) or Azure Databricks (which is serverless but requires Spark expertise and is not SQL-native), missing that Azure Synapse serverless SQL pool is the only option that combines serverless billing, direct JSON querying, and SQL-based reporting for Power BI.
Detailed technical explanation
The serverless SQL pool in Azure Synapse uses a distributed query engine that reads data directly from the data lake via OPENROWSET or external tables, leveraging the T-SQL language to parse JSON using functions like JSON_VALUE and OPENJSON. Under the hood, it uses a pay-per-query billing model based on the amount of data processed, with a built-in cache to optimize repeated queries. In a real-world scenario, a small business can store daily survey JSON files in Blob Storage and run ad-hoc SQL queries without any schema definition, then connect Power BI directly to the serverless endpoint for live reporting.
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 Analytics serverless SQL pool — Azure Synapse Analytics serverless SQL pool is the correct choice because it allows you to query JSON files directly from Azure Data Lake Storage or Blob Storage using standard T-SQL, without provisioning any infrastructure. It is serverless (pay-per-query), supports SQL-based queries, and integrates seamlessly with Power BI for reporting, making it ideal for a small business with a limited budget and minimal management overhead.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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