The answer is Azure Synapse Analytics serverless SQL pool because it enables serverless SQL query on Azure Blob Storage with T-SQL, allowing you to analyze historical CSV sales data without provisioning or managing any infrastructure. This service uses an on-demand compute model that automatically scales to query files directly in Blob Storage, and it exposes a standard T-SQL endpoint that Power BI can connect to natively, making it ideal for ad-hoc analytics and visualization. On the DP-900 exam, this scenario tests your understanding of the difference between serverless and dedicated SQL pools—a common trap is confusing Azure SQL Database (which requires a managed instance) or Azure Data Lake Storage (which is just storage, not a query engine). Remember that if the question emphasizes “no infrastructure management” and “T-SQL over files in Blob,” the answer is always the serverless SQL pool. Memory tip: think “serverless = no servers to manage, just T-SQL on files.”
DP-900 Describe an analytics workload on Azure Practice Question
This DP-900 practice question tests your understanding of describe an analytics workload 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 retail company wants to analyze years of historical sales data stored as CSV files in Azure Blob Storage. The analytics solution must be serverless, allow T-SQL queries without managing infrastructure, and integrate directly with Power BI. Which Azure service should the company use?
Why wrong: Azure SQL Database is a managed relational database with provisioned compute, not serverless for ad-hoc queries over files in Blob Storage.
B
Azure Synapse Analytics serverless SQL pool
The serverless SQL pool in Azure Synapse Analytics can query data in data lakes and Blob Storage using T-SQL without managing any infrastructure, and it integrates with Power BI.
C
Azure Cosmos DB
Why wrong: Azure Cosmos DB is a NoSQL database for operational workloads, not designed for T-SQL queries over CSV files in Blob Storage.
D
Azure Analysis Services
Why wrong: Azure Analysis Services is a semantic modeling platform that requires data to be imported or queried from an existing source, not a direct serverless query engine over files.
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 provides a serverless, on-demand query service that can directly query CSV files stored in Azure Blob Storage using T-SQL without requiring any infrastructure management. It integrates natively with Power BI via the T-SQL endpoint, enabling direct data visualization from the queried files.
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 is a managed relational database with provisioned compute, not serverless for ad-hoc queries over files in Blob Storage.
✓
Azure Synapse Analytics serverless SQL pool
Why this is correct
The serverless SQL pool in Azure Synapse Analytics can query data in data lakes and Blob Storage using T-SQL without managing any infrastructure, and it integrates with Power BI.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Cosmos DB
Why it's wrong here
Azure Cosmos DB is a NoSQL database for operational workloads, not designed for T-SQL queries over CSV files in Blob Storage.
✗
Azure Analysis Services
Why it's wrong here
Azure Analysis Services is a semantic modeling platform that requires data to be imported or queried from an existing source, not a direct serverless query engine over files.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure SQL Database (a provisioned database) with a serverless query service, or they mistakenly think Azure Analysis Services can directly query raw files, when in fact it requires pre-loaded data models.
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 or Data Lake Gen2 via the OPENROWSET function, supporting file formats like CSV, Parquet, and JSON. It leverages the T-SQL language with full support for standard SQL constructs, and its integration with Power BI is achieved by connecting to the serverless SQL endpoint as a data source, allowing real-time querying of the underlying files 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.
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 an analytics workload on Azure — This question tests Describe an analytics workload 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 Analytics serverless SQL pool — Azure Synapse Analytics serverless SQL pool is the correct choice because it provides a serverless, on-demand query service that can directly query CSV files stored in Azure Blob Storage using T-SQL without requiring any infrastructure management. It integrates natively with Power BI via the T-SQL endpoint, enabling direct data visualization from the queried files.
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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