- A
Azure Synapse Analytics Serverless SQL pool
Why wrong: Serverless SQL pool is best for ad-hoc queries and interactive exploration, but its performance can vary based on resource availability and concurrency, making it unsuitable for consistent overnight batch processing.
- B
Azure Synapse Analytics Dedicated SQL pool
Dedicated SQL pool provisions reserved compute resources, enabling consistent query performance and predictable costs for recurring, complex, large-scale analytics workloads like overnight batch processing.
- C
Azure SQL Database
Why wrong: Azure SQL Database is optimized for OLTP workloads and smaller datasets. It is not designed for petabyte-scale analytics with large joins and aggregations, and would face performance and scaling limitations.
- D
Azure Analysis Services
Why wrong: Azure Analysis Services is a semantic data model service that works with pre-aggregated data, not a data warehouse for running raw complex SQL queries directly on petabytes of data.
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 retail company processes petabytes of sales transaction data stored in Azure Data Lake Storage Gen2. They need to run recurring complex queries that involve large joins and aggregations. The queries must consistently complete within a fixed time window overnight. The company wants predictable performance and costs. Which Azure service should they use?
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 provides reserved, fixed compute resources that ensure predictable performance and cost for recurring complex queries involving large joins and aggregations. It is designed for petabyte-scale data warehousing workloads with consistent SLAs, making it ideal for overnight batch processing within a fixed time window.
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 it's wrong here
Serverless SQL pool is best for ad-hoc queries and interactive exploration, but its performance can vary based on resource availability and concurrency, making it unsuitable for consistent overnight batch processing.
- ✓
Azure Synapse Analytics Dedicated SQL pool
Why this is correct
Dedicated SQL pool provisions reserved compute resources, enabling consistent query performance and predictable costs for recurring, complex, large-scale analytics workloads like overnight batch processing.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
Azure SQL Database
Why it's wrong here
Azure SQL Database is optimized for OLTP workloads and smaller datasets. It is not designed for petabyte-scale analytics with large joins and aggregations, and would face performance and scaling limitations.
- ✗
Azure Analysis Services
Why it's wrong here
Azure Analysis Services is a semantic data model service that works with pre-aggregated data, not a data warehouse for running raw complex SQL queries directly on petabytes of data.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates confuse serverless SQL pool's flexibility with dedicated SQL pool's predictability, overlooking that serverless is designed for ad-hoc exploration, not consistent, fixed-time batch processing.
Detailed technical explanation
How to think about this question
Dedicated SQL pool uses a Massively Parallel Processing (MPP) architecture that distributes data across 60 distributions, enabling parallel execution of large joins and aggregations. It supports materialized views and result-set caching to further accelerate recurring queries, and its fixed resource class (e.g., DWU) guarantees consistent throughput regardless of concurrent workloads. In practice, companies often use PolyBase or COPY INTO to load data from Data Lake Storage Gen2 into the dedicated pool for optimal performance.
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.
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 Dedicated SQL pool — Azure Synapse Analytics Dedicated SQL pool provides reserved, fixed compute resources that ensure predictable performance and cost for recurring complex queries involving large joins and aggregations. It is designed for petabyte-scale data warehousing workloads with consistent SLAs, making it ideal for overnight batch processing within a fixed time window.
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.
About these practice questions
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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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