Quick Answer
The answer is Azure SQL Database. This is the correct choice because it is a fully managed relational database engine that guarantees ACID transactions, ensuring strong consistency for critical data like orders and payments, and it natively supports complex joins through T-SQL, which is essential for querying related tables in transactional workloads. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your ability to match workload requirements—specifically the need for relational integrity, strong consistency, and elastic scaling—to the appropriate Azure data service. A common trap is confusing Azure SQL Database with Azure Cosmos DB, which offers global distribution but uses NoSQL models and eventual consistency by default, making it unsuitable for strict transactional integrity. Remember the memory tip: if the workload demands “ACID joins and growing rows,” think Azure SQL Database.
This DP-900 practice question tests your understanding of describe core data concepts. 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.
You are designing a data solution for a retail company that needs to store transactional data (orders, payments) with strong consistency and support for complex joins. The data volume is moderate but expected to grow. Which Azure service should you choose?
Azure Cosmos DB
Why wrong: Cosmos DB is NoSQL and may not support complex joins natively.
Azure Table Storage
Why wrong: Table Storage is key-value and does not support joins.
Azure SQL Database
Azure SQL Database provides full relational capabilities with strong consistency.
Azure Synapse Analytics
Why wrong: Synapse is for large-scale analytics, not transactional 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 SQL Database
Azure SQL Database is a fully managed relational database that provides ACID transactions with strong consistency and supports complex joins via T-SQL. It is ideal for transactional workloads like orders and payments where data integrity and relational queries are critical, and it scales elastically to accommodate growing data volumes.
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 Cosmos DB
Why it's wrong here
Cosmos DB is NoSQL and may not support complex joins natively.
Azure Table Storage
Why it's wrong here
Table Storage is key-value and does not support joins.
Azure SQL Database
Why this is correct
Azure SQL Database provides full relational capabilities with strong consistency.
Related concept
Read the scenario before looking for a memorised answer.
Azure Synapse Analytics
Why it's wrong here
Synapse is for large-scale analytics, not transactional workloads.
Common exam traps
The trap here is that candidates confuse 'scalability' with 'suitability for transactional workloads' and choose Cosmos DB for its global distribution, overlooking that strong consistency and complex joins are not its core strengths.
Detailed technical explanation
Under the hood, Azure SQL Database uses a row-store engine with lock-based concurrency control to enforce ACID properties, ensuring that every transaction (e.g., an order and its associated payment) is committed atomically. Complex joins are executed via hash, merge, or nested loop algorithms optimized by the query optimizer, which is not available in NoSQL stores. In a real-world scenario, a retail system must guarantee that an order and its payment record are both written or neither is written—this is impossible with eventual consistency models.
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
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FAQ
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
The correct answer is: Azure SQL Database — Azure SQL Database is a fully managed relational database that provides ACID transactions with strong consistency and supports complex joins via T-SQL. It is ideal for transactional workloads like orders and payments where data integrity and relational queries are critical, and it scales elastically to accommodate growing data volumes.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 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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