- A
Azure SQL Database serverless
Why wrong: Azure SQL Database serverless is for relational databases, not querying external data lakes.
- B
Azure Analysis Services
Why wrong: Analysis Services requires data to be loaded into a tabular model, not direct querying.
- C
Azure Databricks
Why wrong: Databricks uses Spark SQL, not T-SQL, though it can query Data Lake.
- D
Azure Synapse Serverless SQL pool
Serverless SQL pool provides T-SQL interface over data in Data Lake Storage, with pay-per-query pricing.
Quick Answer
The correct answer is Azure Synapse Serverless SQL pool. This service is purpose-built for running serverless T-SQL on data lake environments, allowing you to execute complex analytics queries directly against petabytes of data stored in Azure Data Lake Storage without provisioning or managing any underlying infrastructure. It uses the familiar T-SQL syntax, making it ideal for analysts and data professionals who need to query massive datasets on demand. On the DP-900 exam, this question tests your understanding of Azure’s serverless compute options for big data—a common trap is confusing it with Azure SQL Database (which requires provisioning) or Azure Data Lake Analytics (which uses U-SQL, not T-SQL). Remember that if the scenario emphasizes “T-SQL” and “serverless on a data lake,” your answer is always Synapse Serverless SQL pool. A quick memory tip: “Synapse Serverless = SQL on the lake, no server to bake.”
DP-900 Describe core data concepts Practice Question
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 company wants to run complex analytics queries across petabytes of data stored in Azure Data Lake Storage. They need a serverless option that supports T-SQL. Which Azure service should they use?
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
Azure Synapse Serverless SQL pool
Azure Synapse Serverless SQL pool is the correct choice because it provides a serverless, on-demand query service that allows you to run T-SQL queries directly against data stored in Azure Data Lake Storage (ADLS). It supports complex analytics over petabytes of data without provisioning any infrastructure, and it uses T-SQL as the query language, meeting all the stated requirements.
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 serverless
Why it's wrong here
Azure SQL Database serverless is for relational databases, not querying external data lakes.
- ✗
Azure Analysis Services
Why it's wrong here
Analysis Services requires data to be loaded into a tabular model, not direct querying.
- ✗
Azure Databricks
Why it's wrong here
Databricks uses Spark SQL, not T-SQL, though it can query Data Lake.
- ✓
Azure Synapse Serverless SQL pool
Why this is correct
Serverless SQL pool provides T-SQL interface over data in Data Lake Storage, with pay-per-query pricing.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'serverless' with 'Azure SQL Database serverless' (Option A) because of the name, but fail to recognize that Azure SQL Database serverless is a transactional database, not a data lake query engine, and does not support querying external storage like ADLS with T-SQL.
Detailed technical explanation
How to think about this question
Azure Synapse Serverless SQL pool uses a distributed query engine that parses T-SQL queries and translates them into Spark jobs executed across nodes in the Synapse compute fabric, reading data directly from ADLS in formats like Parquet, Delta, or CSV. It supports external tables and OPENROWSET functions, allowing schema-on-read without data movement, and charges only for the amount of data processed per query, making it cost-effective for ad-hoc analytics over massive datasets.
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.
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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Describe core data concepts — study guide chapter
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FAQ
Questions learners often ask
What does this DP-900 question test?
Describe core data concepts — This question tests Describe core data concepts — 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 the correct choice because it provides a serverless, on-demand query service that allows you to run T-SQL queries directly against data stored in Azure Data Lake Storage (ADLS). It supports complex analytics over petabytes of data without provisioning any infrastructure, and it uses T-SQL as the query language, meeting all the stated requirements.
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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Last reviewed: Jun 24, 2026
This DP-900 practice question is part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the DP-900 exam.
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