- A
Azure SQL Database
Why wrong: Azure SQL Database is optimized for OLTP (transactional) workloads, not for petabyte-scale analytical queries on data lake files.
- B
Azure Synapse Analytics (serverless SQL pool)
Correct. Azure Synapse serverless SQL pool can query large volumes of Parquet files directly with T-SQL, provides MPP performance, integrates with Power BI and Data Factory, and is designed for this type of analytical workload.
- C
Azure HDInsight with Spark
Why wrong: While HDInsight can handle big data analytics, it requires more management overhead, and the team prefers SQL-based queries. Synapse provides a more seamless SQL experience and native integration.
- D
Azure Analysis Services
Why wrong: Analysis Services is a semantic modeling layer for pre-aggregated data, not designed to directly query raw Parquet files in the data lake.
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 financial services company stores years of market trade data as Parquet files in Azure Data Lake Storage Gen2. The data volume is terabytes and growing rapidly. Data analysts need to run complex SQL queries that join multiple tables (e.g., trades, instruments, counterparties) and return results within seconds. The company also wants to integrate with Power BI for visualization and Azure Data Factory for orchestration of ETL pipelines. Which Azure service should they choose as the primary analytics platform?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue:
"primary"Why it matters: Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
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 Analytics (serverless SQL pool)
Azure Synapse Analytics serverless SQL pool is the correct choice because it provides a distributed SQL query engine that can directly query Parquet files in Azure Data Lake Storage Gen2 using T-SQL, enabling complex joins across multiple tables with fast performance via automatic query optimization and pushdown computation. It integrates natively with Power BI for visualization and Azure Data Factory for ETL orchestration, making it the ideal primary analytics platform for large-scale, schema-on-read data lake scenarios.
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
Why it's wrong here
Azure SQL Database is optimized for OLTP (transactional) workloads, not for petabyte-scale analytical queries on data lake files.
- ✓
Azure Synapse Analytics (serverless SQL pool)
Why this is correct
Correct. Azure Synapse serverless SQL pool can query large volumes of Parquet files directly with T-SQL, provides MPP performance, integrates with Power BI and Data Factory, and is designed for this type of analytical workload.
Clue confirmation
The clue word "primary" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure HDInsight with Spark
Why it's wrong here
While HDInsight can handle big data analytics, it requires more management overhead, and the team prefers SQL-based queries. Synapse provides a more seamless SQL experience and native integration.
- ✗
Azure Analysis Services
Why it's wrong here
Analysis Services is a semantic modeling layer for pre-aggregated data, not designed to directly query raw Parquet files in the data lake.
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, assuming both are just 'SQL databases,' but the key differentiator is that serverless SQL pool is a distributed query service for data lakes, not a transactional database.
Detailed technical explanation
How to think about this question
Under the hood, Azure Synapse serverless SQL pool uses a distributed query execution engine that splits queries into smaller tasks and processes them in parallel across multiple compute nodes, leveraging data skipping and partition elimination to minimize I/O. It supports the OPENROWSET function with BULK operations to read Parquet files directly, and can automatically infer schema from the file metadata, enabling seamless joins across different file paths as if they were tables. In real-world scenarios, this allows analysts to run complex multi-table queries on petabyte-scale data without provisioning any dedicated compute resources, paying only for the data scanned.
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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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: Azure Synapse Analytics (serverless SQL pool) — Azure Synapse Analytics serverless SQL pool is the correct choice because it provides a distributed SQL query engine that can directly query Parquet files in Azure Data Lake Storage Gen2 using T-SQL, enabling complex joins across multiple tables with fast performance via automatic query optimization and pushdown computation. It integrates natively with Power BI for visualization and Azure Data Factory for ETL orchestration, making it the ideal primary analytics platform for large-scale, schema-on-read data lake scenarios.
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: "primary". Asks for the main purpose or function, not a secondary benefit. Eliminate answers that describe side-effects or partial functions.
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
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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