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 has an Azure SQL Database that uses active geo-replication to a secondary region. The primary database is hit by a logical corruption error. You need to restore the database to a point before the corruption occurred with minimal data loss. What should you do?
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
✓
Restore the primary database to a point in time before the corruption using automated backups.
Geo-replication replicates changes that may include the corruption; you cannot revert to a point before corruption without a backup. Option A is wrong because failover would bring the corrupted data to the secondary. Option B is wrong because geo-replication replicates the corruption. Option C is wrong because point-in-time restore to a time before corruption is the correct approach.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Fail over to the secondary region and then fail back.
Why it's wrong here
Failover would propagate the corruption.
- ✗
Use the geo-replicated secondary to recover the data.
Why it's wrong here
The secondary contains the same corruption.
- ✗
Seeding the secondary from a backup of the primary.
Why it's wrong here
Seeding would overwrite secondary with corrupted data.
- ✓
Restore the primary database to a point in time before the corruption using automated backups.
Why this is correct
Point-in-time restore can recover to a state before the corruption.
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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