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 complex SQL queries against petabytes of historical sales data stored in Azure Data Lake Storage Gen2. The solution must be serverless with pay-per-query pricing. Which Azure service should they use?
It provides serverless SQL queries over data in Data Lake Storage with pay-per-query pricing.
B
Azure SQL Database
Why wrong: Azure SQL Database is a provisioned relational database service with reserved compute and storage, not serverless pay-per-query for data lakes.
C
Azure HDInsight with Spark
Why wrong: HDInsight requires a provisioned cluster and is not serverless.
D
Azure Analysis Services
Why wrong: Azure Analysis Services is a tabular model service for multidimensional analysis, not designed for direct petabyte-scale SQL queries over data lake 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, pay-per-query engine that can directly query petabytes of data stored in Azure Data Lake Storage Gen2 using standard T-SQL. It eliminates infrastructure management and charges only for the data processed by each query, making it ideal for ad-hoc, complex SQL workloads on massive historical 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 Synapse Analytics serverless SQL pool
Why this is correct
It provides serverless SQL queries over data in Data Lake Storage with pay-per-query pricing.
Related concept
Read the scenario before looking for a memorised answer.
✗
Azure SQL Database
Why it's wrong here
Azure SQL Database is a provisioned relational database service with reserved compute and storage, not serverless pay-per-query for data lakes.
✗
Azure HDInsight with Spark
Why it's wrong here
HDInsight requires a provisioned cluster and is not serverless.
✗
Azure Analysis Services
Why it's wrong here
Azure Analysis Services is a tabular model service for multidimensional analysis, not designed for direct petabyte-scale SQL queries over data lake files.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Azure Synapse Analytics serverless SQL pool with Azure SQL Database or HDInsight, mistakenly thinking that any SQL-capable service can handle petabyte-scale serverless queries, while the key differentiator is the direct, pay-per-query access to Data Lake Storage without provisioning compute.
Detailed technical explanation
How to think about this question
Under the hood, the serverless SQL pool uses a distributed query execution engine that reads data directly from Azure Data Lake Storage Gen2 via the T-SQL endpoint, leveraging the OPENROWSET function with BULK operations to parse formats like Parquet, CSV, and Delta Lake. It dynamically allocates compute resources per query, scaling from a few nodes to hundreds based on the data volume, and bills based on the amount of data scanned (typically in terabytes), with a built-in query concurrency limit of 20 concurrent queries. In a real-world scenario, a data analyst could run a complex aggregation over 10 PB of sales data and pay only for the 500 GB scanned, rather than provisioning a cluster.
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 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.
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, pay-per-query engine that can directly query petabytes of data stored in Azure Data Lake Storage Gen2 using standard T-SQL. It eliminates infrastructure management and charges only for the data processed by each query, making it ideal for ad-hoc, complex SQL workloads on massive historical 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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