The answer is Read Scale-out, which enables a readable secondary replica to handle read-only reporting queries. This feature is correct because it offloads unpredictable reporting spikes from the primary transactional workload while maintaining transactionally consistent data through synchronous replication, ensuring reporting queries always see the most current data without degrading transactional performance. On the Microsoft Azure Data Fundamentals DP-900 exam, this scenario tests your understanding of how Azure SQL Database isolates workloads using built-in high-availability replicas, often appearing as a contrast to features like geo-replication or elastic pools. A common trap is confusing Read Scale-out with read-only replicas in other services, but the key distinction is that Azure SQL Database’s readable secondary is automatically kept in sync and requires no application changes beyond adding “ApplicationIntent=ReadOnly” to the connection string. Memory tip: think “scale out reads, not writes” — the feature scales read capacity outward to a secondary, leaving the primary free for transactions.
DP-900 Practice Question: Identify considerations for relational data on Azure
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 retail company runs an e-commerce platform on a single SQL Server database. The database experiences unpredictable spikes in read-only reporting queries that degrade transactional performance. They want to migrate to Azure SQL Database and isolate the reporting workload while ensuring it sees the most current data. Which feature should they enable?
This feature creates a read-only replica that can serve reporting queries with minimal latency, isolating them from the primary's transactional workload.
B
Elastic Pool
Why wrong: An elastic pool allows multiple databases to share resources but does not create a separate read-only replica; it does not isolate read queries from a single database.
C
Geo-replication
Why wrong: Geo-replication creates a secondary in another region for disaster recovery. While the secondary is readable, it is not designed to offload read queries with low latency, and it requires redirecting queries manually.
D
SQL Server Agent
Why wrong: SQL Server Agent is used for scheduling maintenance jobs, not for read workload isolation.
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Read Scale-out (using a readable secondary)
Read Scale-out allows you to offload read-only reporting queries to a readable secondary replica, isolating them from the primary transactional workload. This ensures reporting queries see the most current data because the secondary replica is kept transactionally consistent with the primary via synchronous replication. It directly addresses the unpredictable spikes in read-only queries without degrading transactional performance.
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.
✓
Read Scale-out (using a readable secondary)
Why this is correct
This feature creates a read-only replica that can serve reporting queries with minimal latency, isolating them from the primary's transactional workload.
Related concept
Read the scenario before looking for a memorised answer.
✗
Elastic Pool
Why it's wrong here
An elastic pool allows multiple databases to share resources but does not create a separate read-only replica; it does not isolate read queries from a single database.
✗
Geo-replication
Why it's wrong here
Geo-replication creates a secondary in another region for disaster recovery. While the secondary is readable, it is not designed to offload read queries with low latency, and it requires redirecting queries manually.
✗
SQL Server Agent
Why it's wrong here
SQL Server Agent is used for scheduling maintenance jobs, not for read workload isolation.
Common exam traps
Common exam trap: answer the scenario, not the keyword
The trap here is that candidates often confuse Geo-replication (which provides a readable secondary but with asynchronous replication and potential data lag) with Read Scale-out, which uses synchronous replication for current data, or mistakenly think Elastic Pools can isolate workloads within a single database.
Detailed technical explanation
How to think about this question
Read Scale-out in Azure SQL Database leverages Always On Availability Groups technology to create a readable secondary replica that uses synchronous commit mode, ensuring zero data loss and transactionally consistent reads. The secondary replica can handle read-only queries without blocking or being blocked by transactions on the primary, using row versioning to provide snapshot isolation. In a real-world scenario, this allows reporting dashboards and BI tools to query the secondary directly, while the primary handles OLTP workloads without contention.
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
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.
Related glossary terms
Concepts from this question explained
These glossary pages explain the core terms tested in this DP-900 question in full detail.
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..
What is the correct answer to this question?
The correct answer is: Read Scale-out (using a readable secondary) — Read Scale-out allows you to offload read-only reporting queries to a readable secondary replica, isolating them from the primary transactional workload. This ensures reporting queries see the most current data because the secondary replica is kept transactionally consistent with the primary via synchronous replication. It directly addresses the unpredictable spikes in read-only queries without degrading transactional performance.
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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