- A
A. Azure SQL Database
Why wrong: Azure SQL Database is a fully managed relational database service, but it cannot directly query data in a data lake without data movement, and it is not serverless in the sense of pay-per-query.
- B
B. Azure Synapse Serverless SQL pool
Azure Synapse Serverless SQL pool provides a serverless, on-demand query interface that can read data from various sources in the data lake using T-SQL, without data movement or provisioning.
- C
C. Azure HDInsight
Why wrong: Azure HDInsight is a managed big data platform (Hadoop, Spark, etc.) that requires provisioning clusters and is not a serverless SQL query service for ad-hoc analysis.
- D
D. Azure Analysis Services
Why wrong: Azure Analysis Services is an enterprise-scale analytics engine for creating semantic models and does not directly query data lake files with T-SQL in a serverless manner.
Quick Answer
The correct answer is Azure Synapse Serverless SQL pool because it provides a unified SQL-based interface to query both structured data in a relational data warehouse and unstructured data in a data lake—such as Parquet, CSV, or JSON files—without requiring data movement. This serverless, on-demand compute model charges per query, making it ideal for ad-hoc analytics while minimizing infrastructure overhead. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your understanding of how Synapse Serverless SQL pool bridges the gap between traditional relational stores and modern data lakes, often appearing as a case study for centralized analytics. A common trap is confusing it with Azure SQL Database (which is provisioned, not serverless) or Azure Data Lake Storage (which is storage only, not a query engine). Remember the memory tip: “Serverless SQL pools query pools of data—structured or not—without moving a spot.”
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 company needs to build a centralized analytics platform that can query both structured data in a relational data warehouse and unstructured data in a data lake using a single SQL-based interface. They want to minimize data movement and use a serverless, on-demand compute model for ad-hoc queries. 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.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
B. Azure Synapse Serverless SQL pool
Azure Synapse Serverless SQL pool is correct because it provides a SQL-based interface to query both structured data in a relational data warehouse and unstructured data in a data lake (e.g., Parquet, CSV, JSON) without moving data. It uses a serverless, on-demand compute model that charges per query, making it ideal for ad-hoc analytics with minimal 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.
- ✗
A. Azure SQL Database
Why it's wrong here
Azure SQL Database is a fully managed relational database service, but it cannot directly query data in a data lake without data movement, and it is not serverless in the sense of pay-per-query.
- ✓
B. Azure Synapse Serverless SQL pool
Why this is correct
Azure Synapse Serverless SQL pool provides a serverless, on-demand query interface that can read data from various sources in the data lake using T-SQL, without data movement or provisioning.
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.
- ✗
C. Azure HDInsight
Why it's wrong here
Azure HDInsight is a managed big data platform (Hadoop, Spark, etc.) that requires provisioning clusters and is not a serverless SQL query service for ad-hoc analysis.
- ✗
D. Azure Analysis Services
Why it's wrong here
Azure Analysis Services is an enterprise-scale analytics engine for creating semantic models and does not directly query data lake files with T-SQL in a serverless manner.
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 or HDInsight, mistakenly thinking a traditional relational database or a managed cluster is needed for querying unstructured data, when the serverless SQL pool is specifically designed for this hybrid, on-demand 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 Azure Data Lake Storage Gen2 or Blob Storage using the OPENROWSET function or external tables, supporting formats like Parquet, Delta Lake, and CSV. It leverages the T-SQL language and can join data from the data lake with relational tables in a dedicated SQL pool, all without provisioning any infrastructure. In a real-world scenario, a data engineer can run ad-hoc queries against terabytes of log files in a data lake using standard SQL, paying only for the data processed 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
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
What to study next
Got this wrong? Here's your next step.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Questions learners often ask
What does this DP-900 question test?
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: B. Azure Synapse Serverless SQL pool — Azure Synapse Serverless SQL pool is correct because it provides a SQL-based interface to query both structured data in a relational data warehouse and unstructured data in a data lake (e.g., Parquet, CSV, JSON) without moving data. It uses a serverless, on-demand compute model that charges per query, making it ideal for ad-hoc analytics with minimal 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.
Are there clue words in this question I should notice?
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.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 11, 2026
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