Plan and configure a high availability and disaster recovery environment →mediumMultiple ChoiceObjective-mapped
DP-300 Practice Question: Plan and configure a high availability and disaster recovery environment
Your company uses Azure SQL Database Hyperscale tier for a large OLTP workload. You need to implement a disaster recovery solution that provides a readable secondary in a different Azure region with an RPO of less than 5 seconds and automatic failover. What should you configure?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Create a named replica in the target region and configure application failover logic.
Hyperscale supports named replicas that can be created in a different region and can be used for failover. Option A is wrong because Hyperscale does not support auto-failover groups. Option B is wrong because Hyperscale does not support active geo-replication. Option C is wrong because geo-restore does not provide a readable secondary.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Create an auto-failover group with a secondary in the paired region.
Why it's wrong here
Auto-failover groups are not supported for Hyperscale.
- ✗
Enable geo-redundant backup storage and use geo-restore.
Why it's wrong here
Geo-restore does not provide a readable secondary.
- ✗
Configure active geo-replication to a secondary server in another region.
Why it's wrong here
Active geo-replication is not supported for Hyperscale.
- ✓
Create a named replica in the target region and configure application failover logic.
Why this is correct
Named replicas in Hyperscale can be placed in different regions and used for failover with low RPO.
Go deeper
Related to this question
Learn chapter
Overview of Azure Data Platform Options
Key term
Azure SQL Performance Tuning
Azure SQL Performance Tuning is the process of optimizing the speed and efficiency of queries and database operations in Microsoft Azure SQL Database or SQL Managed Instance to reduce latency and improve throughput.
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