- A
Azure Synapse Analytics dedicated SQL pool
Correct. The dedicated SQL pool in Azure Synapse Analytics is an MPP engine optimized for large-scale analytical workloads. It can query data directly in ADLS Gen2 via PolyBase, supports complex joins, and integrates with Power BI and Azure Data Factory.
- B
Azure SQL Database
Why wrong: Incorrect. Azure SQL Database is an OLTP relational database not designed for petabyte-scale analytics with MPP. It has scalability limits and is not optimized for complex, high-concurrency analytical queries.
- C
Azure Cosmos DB
Why wrong: Incorrect. Azure Cosmos DB is a NoSQL database for globally distributed transactional workloads. While it supports SQL-like queries, it is not an MPP data warehouse and cannot efficiently execute complex joins over petabytes of data.
- D
Azure Analysis Services
Why wrong: Incorrect. Azure Analysis Services is a semantic modeling engine used to create tabular models for business intelligence. It is not a data warehouse and does not natively store or query petabytes of raw data; it imports data from other sources.
Quick Answer
The answer is Azure Synapse Analytics dedicated SQL pool because it provides a massively parallel processing (MPP) engine that distributes petabyte-scale data across 60 distributions, allowing complex SQL queries joining multiple large tables to return results in seconds. This MPP architecture is essential for the scenario’s scale, and the service natively integrates with Power BI for visualization and Azure Data Factory for ETL orchestration, exactly as required. On the DP-900 exam, this question tests your understanding of when to choose a dedicated SQL pool over serverless options or Azure SQL Database—a common trap is selecting Azure SQL Database for its SQL familiarity, but it lacks MPP for petabyte-scale workloads. Remember the memory tip: “MPP means 60 distributions for petabyte performance.”
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 analytics company stores petabytes of transaction data in Parquet files in Azure Data Lake Storage Gen2. Data analysts need to run complex SQL queries that join multiple large tables and return results within seconds. The company also wants to integrate with Power BI for visualization and Azure Data Factory for ETL orchestration. They require a massively parallel processing (MPP) engine to handle the scale. Which Azure service should they choose?
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 dedicated SQL pool
Azure Synapse Analytics dedicated SQL pool is the correct choice because it provides a massively parallel processing (MPP) engine that distributes data across 60 distributions, enabling fast execution of complex SQL queries on petabyte-scale data stored in Parquet files in Azure Data Lake Storage Gen2. It natively integrates with Power BI for visualization and Azure Data Factory for ETL orchestration, meeting all 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 Synapse Analytics dedicated SQL pool
Why this is correct
Correct. The dedicated SQL pool in Azure Synapse Analytics is an MPP engine optimized for large-scale analytical workloads. It can query data directly in ADLS Gen2 via PolyBase, supports complex joins, and integrates with Power BI and Azure Data Factory.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure SQL Database
Why it's wrong here
Incorrect. Azure SQL Database is an OLTP relational database not designed for petabyte-scale analytics with MPP. It has scalability limits and is not optimized for complex, high-concurrency analytical queries.
- ✗
Azure Cosmos DB
Why it's wrong here
Incorrect. Azure Cosmos DB is a NoSQL database for globally distributed transactional workloads. While it supports SQL-like queries, it is not an MPP data warehouse and cannot efficiently execute complex joins over petabytes of data.
- ✗
Azure Analysis Services
Why it's wrong here
Incorrect. Azure Analysis Services is a semantic modeling engine used to create tabular models for business intelligence. It is not a data warehouse and does not natively store or query petabytes of raw data; it imports data from other sources.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates may confuse Azure Synapse Analytics dedicated SQL pool with Azure SQL Database, assuming both are 'SQL' and thus interchangeable, but the key differentiator is the MPP architecture required for petabyte-scale workloads.
Detailed technical explanation
How to think about this question
Azure Synapse dedicated SQL pool uses a control node to distribute query execution across compute nodes, each processing a subset of data stored in 60 distributions based on a hash or round-robin distribution key. This architecture allows it to leverage columnstore indexes and predicate pushdown to scan only relevant partitions in Parquet files, achieving sub-second response times even on multi-terabyte joins. In real-world scenarios, the choice of distribution key is critical to avoid data skew and ensure balanced parallelism.
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.
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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 dedicated SQL pool — Azure Synapse Analytics dedicated SQL pool is the correct choice because it provides a massively parallel processing (MPP) engine that distributes data across 60 distributions, enabling fast execution of complex SQL queries on petabyte-scale data stored in Parquet files in Azure Data Lake Storage Gen2. It natively integrates with Power BI for visualization and Azure Data Factory for ETL orchestration, meeting all 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 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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