Quick Answer
The answer is Azure Synapse Analytics dedicated SQL pool, which is the correct choice because it is purpose-built for running complex analytical queries that scan large volumes of data, unlike transactional systems like Azure SQL Database. A dedicated SQL pool uses a massively parallel processing (MPP) architecture that distributes data and computation across multiple nodes, enabling fast performance on large-scale analytical workloads. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your ability to distinguish between transactional and analytical services—a common trap is confusing Azure Analysis Services (which handles semantic models, not direct query offloading) or Azure Data Lake Storage (a storage layer, not a relational analytics engine). Remember that when you need to offload heavy analytical queries from a transactional database, think “Synapse for scanning, SQL Database for transactions.” A helpful memory tip: “Synapse scans, SQL transacts.”
This DP-900 practice question tests your understanding of identify considerations for relational data 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 company uses Azure SQL Database and needs to run complex analytical queries that scan large amounts of data. The queries are experiencing performance issues. Which Azure service should they use to offload the analytical workload?
Azure SQL Database (Hyperscale tier)
Why wrong: Hyperscale is for large transactional databases, not analytical queries.
Azure Analysis Services
Why wrong: It provides semantic models, not direct query offloading.
Azure Data Lake Storage
Why wrong: It is for unstructured data, not relational analytics.
Azure Synapse Analytics dedicated SQL pool
It is designed for analytical workloads.
Answer choices
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
Option C is correct because Azure SQL Data Warehouse (now Synapse Analytics dedicated SQL pool) is optimized for analytical workloads. Option A is wrong because Azure Analysis Services is for semantic models, not direct query offloading. Option B is wrong because Azure SQL Database is transactional, not analytical. Option D is wrong because Azure Data Lake Storage is for data lakes, not relational analytics.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Azure SQL Database (Hyperscale tier)
Why it's wrong here
Hyperscale is for large transactional databases, not analytical queries.
Azure Analysis Services
Why it's wrong here
It provides semantic models, not direct query offloading.
Azure Data Lake Storage
Why it's wrong here
It is for unstructured data, not relational analytics.
Azure Synapse Analytics dedicated SQL pool
Why this is correct
It is designed for analytical workloads.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Many certification questions include familiar terms but test a specific constraint. Read the exact wording before choosing an answer that is generally true but wrong for this case.
Detailed technical explanation
This question should be treated as a scenario, not a definition check. Identify the problem, the constraint and the best action. Then compare each option against those facts.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
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
Identify which DP-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
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FAQ
Identify considerations for relational data on Azure — This question tests Identify considerations for relational data on Azure — Read the scenario before looking for a memorised answer..
The correct answer is: Azure Synapse Analytics dedicated SQL pool — Option C is correct because Azure SQL Data Warehouse (now Synapse Analytics dedicated SQL pool) is optimized for analytical workloads. Option A is wrong because Azure Analysis Services is for semantic models, not direct query offloading. Option B is wrong because Azure SQL Database is transactional, not analytical. Option D is wrong because Azure Data Lake Storage is for data lakes, not relational analytics.
Identify which DP-900 exam domain this question belongs to, then review the specific concept being tested. Practise related questions in that domain and focus on understanding why each wrong answer is tempting — not just why the correct answer is right.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 20, 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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