The answer is Azure SQL Database for transactions and Azure Synapse Analytics for analytics. This combination is correct because Azure SQL Database provides full ACID (Atomicity, Consistency, Isolation, Durability) transaction support, which is essential for healthcare patient records where data integrity is critical, while Azure Synapse Analytics uses massively parallel processing to run complex analytics queries against large datasets, including those from Azure SQL Database. On the DP-900 exam, this scenario tests your understanding of separating transactional and analytical workloads—a common trap is choosing a single service like Azure SQL Database for both, which would degrade performance under heavy analytics. Remember the memory tip: “SQL for safety, Synapse for speed”—Azure SQL Database guarantees safe, consistent transactions, while Synapse crunches big data fast.
DP-900 Describe core data concepts Practice Question
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 healthcare application that requires ACID transactions for patient records and needs to run complex analytics queries. Which combination of Azure services should you recommend?
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 for transactions, Azure Synapse Analytics for analytics
Azure SQL Database provides full ACID (Atomicity, Consistency, Isolation, Durability) transaction support, which is essential for healthcare patient records where data integrity is critical. Azure Synapse Analytics is a cloud-based analytics service that can run complex queries against large datasets, including those from Azure SQL Database, using its massively parallel processing (MPP) architecture. This combination allows transactional and analytical workloads to coexist without compromising performance or consistency.
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 Cosmos DB for transactions, Power BI for analytics
Why it's wrong here
Azure Cosmos DB is not fully ACID compliant for multi-document transactions.
✗
Azure Database for MySQL for transactions, Azure Analysis Services for analytics
Why it's wrong here
Azure Database for MySQL is ACID but less integrated with Azure Synapse Analytics for complex queries.
✗
Azure Blob Storage for transactions, Azure Machine Learning for analytics
Why it's wrong here
Azure Blob Storage is not transactional.
✓
Azure SQL Database for transactions, Azure Synapse Analytics for analytics
Why this is correct
Azure SQL Database provides ACID transactions, and Azure Synapse Analytics can run complex analytics queries.
Related concept
Read the scenario before looking for a memorised answer.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse 'analytics' with visualization tools like Power BI or OLAP cubes, failing to recognize that complex analytics queries require a dedicated MPP engine like Synapse, not just a reporting layer.
Detailed technical explanation
How to think about this question
Azure SQL Database uses snapshot isolation and row-versioning to maintain ACID compliance while supporting high concurrency, which is critical for healthcare systems that must prevent lost updates or dirty reads. Azure Synapse Analytics leverages a distributed query engine with PolyBase to directly query Azure SQL Database via T-SQL, enabling hybrid transactional/analytical processing (HTAP) without data movement. In real-world healthcare scenarios, this allows real-time patient record updates alongside population health analytics on the same data set.
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
Describe core data concepts — This question tests Describe core data concepts — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: Azure SQL Database for transactions, Azure Synapse Analytics for analytics — Azure SQL Database provides full ACID (Atomicity, Consistency, Isolation, Durability) transaction support, which is essential for healthcare patient records where data integrity is critical. Azure Synapse Analytics is a cloud-based analytics service that can run complex queries against large datasets, including those from Azure SQL Database, using its massively parallel processing (MPP) architecture. This combination allows transactional and analytical workloads to coexist without compromising performance or consistency.
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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Question Discussion
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