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.
An organization needs to run complex queries on petabytes of data stored in Azure Data Lake Storage. They want to use serverless compute to avoid managing infrastructure. Which Azure service should they use?
Azure Analysis Services
Why wrong: For tabular models, not direct lake queries.
Azure Synapse Serverless SQL pool
Provides serverless querying over data in Data Lake.
Azure HDInsight
Why wrong: Requires cluster management and provisioning.
Azure SQL Database
Why wrong: Not designed for petabyte-scale unstructured data.
Answer choices
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 serverless compute that can run complex T-SQL queries directly against data stored in Azure Data Lake Storage without requiring any infrastructure management. It uses a pay-per-query billing model and can scale automatically to handle petabytes of data, making it ideal for ad-hoc analytics on large-scale data lakes.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure Analysis Services
Why it's wrong here
For tabular models, not direct lake queries.
Azure Synapse Serverless SQL pool
Why this is correct
Provides serverless querying over data in Data Lake.
Related concept
Read the scenario before looking for a memorised answer.
Azure HDInsight
Why it's wrong here
Requires cluster management and provisioning.
Azure SQL Database
Why it's wrong here
Not designed for petabyte-scale unstructured data.
Common exam traps
The trap here is that candidates often confuse Azure Synapse Serverless SQL pool with Azure SQL Database or HDInsight, mistakenly thinking that any SQL-based service can handle serverless data lake queries, but only Synapse Serverless SQL pool provides true serverless compute with direct, on-demand querying of external data in Azure Data Lake Storage.
Detailed technical explanation
Under the hood, Azure Synapse Serverless SQL pool uses a distributed query engine that partitions the query workload across multiple compute nodes, reading data directly from Azure Data Lake Storage via the PolyBase external table technology. It supports the OPENROWSET function to query files in Parquet, CSV, or Delta Lake format without creating external tables, and it leverages the T-SQL language for complex aggregations, joins, and window functions. A real-world scenario is querying billions of rows of IoT sensor data stored as partitioned Parquet files in ADLS Gen2, where the serverless pool automatically scales compute resources based on the query complexity and data volume.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A startup's cloud architect reviews their monthly bill and notices costs are higher than expected for a long-running batch job. Switching from on-demand instances to Reserved Instances — or using Spot/Preemptible VMs — can reduce compute costs by up to 72 %. Questions like this test whether you understand the tradeoffs between commitment, flexibility, and cost across cloud pricing models.
What to study next
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FAQ
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Synapse Serverless SQL pool — Azure Synapse Serverless SQL pool is the correct choice because it provides serverless compute that can run complex T-SQL queries directly against data stored in Azure Data Lake Storage without requiring any infrastructure management. It uses a pay-per-query billing model and can scale automatically to handle petabytes of data, making it ideal for ad-hoc analytics on large-scale data lakes.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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