Quick Answer
The answer is Azure SQL Database with Hyperscale. This is the correct choice because it supports hybrid transactional and analytical processing (HTAP) by leveraging built-in columnstore indexes and near-instantaneous snapshot isolation, enabling the same database to handle high-volume OLTP transactions while simultaneously running complex analytical queries on live data. On the Microsoft Azure Data Fundamentals DP-900 exam, this question tests your understanding of how Azure services can unify workloads without requiring separate systems; a common trap is to assume you need a dedicated analytics service like Azure Synapse Analytics, but the key is that Hyperscale minimizes application changes by keeping existing SQL Server code and tools fully compatible. Remember the memory tip: “Hyperscale does it all—OLTP and analytics in one call.”
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.
Your team is migrating on-premises SQL Server databases to Azure. They need to minimize application changes and support both OLTP and reporting workloads. Which Azure data service supports hybrid transactional and analytical processing (HTAP)?
Clue words in this question
Noticing these words before you look at the options changes how you read each choice.
Clue: "minimum / minimize"
Why it matters: Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Azure Analysis Services
Why wrong: Analysis Services is for analytical models, not transactional data.
Azure SQL Managed Instance
Why wrong: Managed Instance is for OLTP, not designed for HTAP.
Azure SQL Database with Hyperscale
Hyperscale supports large databases and can handle both transactional and analytical queries.
Azure Data Factory
Why wrong: Data Factory is for data integration, not database processing.
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 with Hyperscale
Azure SQL Database with Hyperscale supports hybrid transactional and analytical processing (HTAP) by using built-in columnstore indexes and near-instantaneous snapshot isolation. This allows the same database to handle high-volume OLTP transactions while simultaneously running complex analytical queries on up-to-date data, minimizing application changes because the existing SQL Server code and tools work without modification.
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 Analysis Services
Why it's wrong here
Analysis Services is for analytical models, not transactional data.
Azure SQL Managed Instance
Why it's wrong here
Managed Instance is for OLTP, not designed for HTAP.
Azure SQL Database with Hyperscale
Why this is correct
Hyperscale supports large databases and can handle both transactional and analytical queries.
Clue confirmation
The clue word "minimum / minimize" in the question point toward this answer.
Related concept
Read the scenario before looking for a memorised answer.
Azure Data Factory
Why it's wrong here
Data Factory is for data integration, not database processing.
Common exam traps
The trap here is that candidates often confuse Azure SQL Database with Hyperscale (which supports HTAP) with Azure SQL Managed Instance (which is a full SQL Server instance but lacks the built-in HTAP architecture), leading them to choose Option B because it sounds like a direct lift-and-shift option.
Detailed technical explanation
HTAP in Azure SQL Database Hyperscale leverages a distributed architecture where compute nodes access a shared page server tier, enabling columnstore indexes to be updated in real-time during OLTP transactions without blocking reads. The key subtlety is that Hyperscale uses a log-based replication model that allows analytical queries to read from the same transactional data with minimal latency, avoiding the need for separate data warehouses or complex replication pipelines. In a real-world scenario, a retail company can run point-of-sale transactions and real-time inventory analytics on the same database, eliminating data staleness and reducing infrastructure complexity.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
An e-commerce site experiences heavy traffic on Black Friday and near-zero traffic during off-peak weeks. Rather than provisioning permanent large VMs, the team uses auto-scaling groups that add capacity automatically under load and reduce it overnight. Questions like this test whether you understand elasticity, availability zones, and cloud compute scaling patterns.
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 with Hyperscale — Azure SQL Database with Hyperscale supports hybrid transactional and analytical processing (HTAP) by using built-in columnstore indexes and near-instantaneous snapshot isolation. This allows the same database to handle high-volume OLTP transactions while simultaneously running complex analytical queries on up-to-date data, minimizing application changes because the existing SQL Server code and tools work without modification.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Yes — watch for: "minimum / minimize". Asks for the least resource use — fewest addresses, smallest subnet, lowest overhead. Eliminate over-provisioned options even if they would technically work.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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