DP-900 Practice Question: Describe considerations for working with non-relational data on Azure
This DP-900 practice question tests your understanding of describe considerations for working with non-relational data on azure. 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 as JSON files in Azure Blob Storage. A data analyst needs to run ad-hoc SQL queries on these files without moving the data and without provisioning any compute clusters. The analyst wants to pay only for the amount of data processed by each query. Which Azure service should they use?
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 pool
Azure Synapse Serverless SQL pool allows you to query data directly from Azure Blob Storage using T-SQL without provisioning any compute clusters. It uses a pay-per-query model where you are billed only for the amount of data processed, making it ideal for ad-hoc SQL queries on JSON files stored in Blob Storage without data movement.
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 SQL Database
Why it's wrong here
Azure SQL Database requires importing data into a relational schema, not directly querying files in Blob Storage.
✓
Azure Synapse Serverless SQL pool
Why this is correct
Correct. Azure Synapse Serverless SQL pool can query JSON files in Blob Storage using T-SQL and charges per data processed.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Cosmos DB
Why it's wrong here
Azure Cosmos DB is for NoSQL work but requires data to be stored in Cosmos DB, not directly query Blob Storage files.
✗
Azure Data Factory
Why it's wrong here
Azure Data Factory is for orchestration and data movement, not direct ad-hoc SQL queries.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Synapse Serverless SQL pool with Azure SQL Database, assuming any SQL-capable service can query files in Blob Storage, but only the serverless pool provides pay-per-query billing and direct file access without provisioning compute.
Detailed technical explanation
How to think about this question
Azure Synapse Serverless SQL pool uses a distributed query engine that reads data directly from Azure Blob Storage via the OPENROWSET function, supporting JSON, CSV, and Parquet formats. It leverages the T-SQL language and can infer schemas from JSON files using AUTO_DETECT, enabling ad-hoc queries without any schema definition. In real-world scenarios, this is ideal for data lake environments where analysts need to explore raw IoT data without incurring the cost of always-on compute.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Describe considerations for working with non-relational data on Azure — This question tests Describe considerations for working with non-relational data on Azure — 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 pool — Azure Synapse Serverless SQL pool allows you to query data directly from Azure Blob Storage using T-SQL without provisioning any compute clusters. It uses a pay-per-query model where you are billed only for the amount of data processed, making it ideal for ad-hoc SQL queries on JSON files stored in Blob Storage without data movement.
What should I do if I get this DP-900 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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Question Discussion
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