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. A key principle to apply: azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2.. 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 ad-hoc SQL queries on petabytes of log data stored as Parquet files in Azure Data Lake Storage Gen2. The queries join multiple tables and require high concurrency from multiple analysts. The solution should minimize cost by only paying for queries executed. 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.
Serverless SQL pool allows querying data lake files with T-SQL, charges per TB of data processed, and scales automatically for concurrency.
B
Azure Synapse Dedicated SQL pool
Why wrong: Dedicated SQL pool requires provisioning compute nodes, incurring cost even when idle, which does not minimize cost for sporadic ad-hoc queries.
C
Azure HDInsight with Spark
Why wrong: HDInsight is a managed cluster service that uses Spark for big data processing; it is not optimized for ad-hoc SQL and requires cluster management.
D
Azure Databricks
Why wrong: Azure Databricks is a Spark-based analytics platform ideal for data engineering and ML, but it is not a pay-per-query SQL service and requires cluster runtime.
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 allows running ad-hoc T-SQL queries directly on Parquet files in Azure Data Lake Storage Gen2 without provisioning any infrastructure. It uses a pay-per-query billing model, making it cost-effective for sporadic, high-concurrency workloads where you only want to pay for the compute resources consumed during query execution.
Key principle: Azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2.
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 Serverless SQL pool
Why this is correct
Serverless SQL pool allows querying data lake files with T-SQL, charges per TB of data processed, and scales automatically for concurrency.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2.
✗
Azure Synapse Dedicated SQL pool
Why it's wrong here
Dedicated SQL pool requires provisioning compute nodes, incurring cost even when idle, which does not minimize cost for sporadic ad-hoc queries.
✗
Azure HDInsight with Spark
Why it's wrong here
HDInsight is a managed cluster service that uses Spark for big data processing; it is not optimized for ad-hoc SQL and requires cluster management.
✗
Azure Databricks
Why it's wrong here
Azure Databricks is a Spark-based analytics platform ideal for data engineering and ML, but it is not a pay-per-query SQL service and requires cluster runtime.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'serverless' with 'Dedicated SQL pool' or choose Spark-based services like Databricks or HDInsight, failing to recognize that the key requirement is pay-per-query billing for ad-hoc SQL on data lake storage, which only Serverless SQL pool provides.
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 the storage layer via the Azure Data Lake Storage Gen2 REST API, leveraging pushdown predicates and columnar formats like Parquet to minimize data scanned. It supports T-SQL syntax for joins and aggregations, and the billing is based on the amount of data processed per query (in TB), not on cluster uptime, making it ideal for unpredictable, high-concurrency workloads. A real-world scenario is a security team running occasional cross-table queries on months of log data without needing to manage infrastructure or pay for idle compute.
KKey Concepts to Remember
Azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2.
It uses a pay-per-query model, charging based on data processed, not compute uptime.
Serverless SQL pool is ideal for ad-hoc queries and data exploration.
It supports T-SQL syntax for querying semi-structured and structured data.
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
Azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2.
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.
Review azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2., then practise related DP-900 questions on the same topic to reinforce the concept.
Describe an analytics workload on Azure — This question tests Describe an analytics workload on Azure — Azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2..
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 allows running ad-hoc T-SQL queries directly on Parquet files in Azure Data Lake Storage Gen2 without provisioning any infrastructure. It uses a pay-per-query billing model, making it cost-effective for sporadic, high-concurrency workloads where you only want to pay for the compute resources consumed during query execution.
What should I do if I get this DP-900 question wrong?
Review azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2., then practise related DP-900 questions on the same topic to reinforce the concept.
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?
Azure Synapse Serverless SQL pool queries data directly in Azure Data Lake Storage Gen2.
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