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 data analyst needs to run interactive SQL queries on a large dataset stored as CSV files in Azure Blob Storage. The analyst wants to explore the data using T-SQL without loading the data into a database. 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 is correct because it allows you to run interactive T-SQL queries directly against CSV files in Azure Blob Storage without loading the data into a database. It uses a pay-per-query model and leverages the OPENROWSET function to query external data in place, making it ideal for ad-hoc exploration of large datasets.
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 the data to be loaded into a database before querying, which is not desired in this scenario.
✓
Azure Synapse Serverless SQL pool
Why this is correct
This service can query CSV files directly in Azure Blob Storage using T-SQL with serverless, pay-per-query compute.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure Data Factory
Why it's wrong here
Azure Data Factory is a data integration and orchestration service, not designed for interactive ad-hoc SQL queries.
✗
Azure Stream Analytics
Why it's wrong here
Azure Stream Analytics is used for processing streaming data in real time, not for interactive querying of static files.
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 both require data loading, but the serverless pool is specifically designed for external data querying without ingestion.
Trap categories for this question
Scenario analysis trap
Azure SQL Database requires the data to be loaded into a database before querying, which is not desired in this scenario.
Detailed technical explanation
How to think about this question
Under the hood, Azure Synapse Serverless SQL pool uses a distributed query engine that reads data directly from Blob Storage via the OPENROWSET function with BULK options, supporting formats like CSV, Parquet, and JSON. It leverages the T-SQL language and can handle petabyte-scale datasets by pushing down filter predicates to the storage layer. A real-world scenario is a data scientist exploring raw log files in Blob Storage without provisioning dedicated compute resources, paying only for the data scanned per query.
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 Serverless SQL pool — Azure Synapse Serverless SQL pool is correct because it allows you to run interactive T-SQL queries directly against CSV files in Azure Blob Storage without loading the data into a database. It uses a pay-per-query model and leverages the OPENROWSET function to query external data in place, making it ideal for ad-hoc exploration of large datasets.
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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