DP-300 Practice Question: Monitor, configure, and optimize database resources
You are a database administrator for a financial services company that runs a critical application on Azure SQL Database in the Business Critical service tier. The database is named 'TransactionsDB' and has a size of 500 GB. The application experiences periodic performance degradation during end-of-month batch processing. Analysis shows that the degradation coincides with high log write activity and increased latency for write transactions. You have already verified that the log rate is within the service tier limits. The batch process performs a large number of INSERT, UPDATE, and DELETE operations on multiple tables. You need to optimize the transaction log performance without changing the application code or the service tier. The database uses the full recovery model and has a log backup every 5 minutes. 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
✓
Enable accelerated database recovery to reduce the log space required for long-running transactions.
Enabling Accelerated Database Recovery (ADR) reduces the log space required for long-running transactions by using a persistent version store (PVS) to avoid writing undo logs. This helps mitigate log growth during batch operations, reducing the frequency of log autogrowth events and improving overall log write performance. Option A is incorrect because transactional replication adds overhead and does not directly optimize log performance. Option B is incorrect because page compression reduces data storage but does not significantly reduce log writes (log records are row-level). Option D is incorrect because Azure SQL Database manages log file sizing automatically; you cannot configure initial size or auto-growth increments manually.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Implement transactional replication to offload write operations to a secondary database.
Why it's wrong here
Transactional replication adds overhead and does not optimize log write performance.
- ✗
Enable page compression on all tables to reduce the amount of data written to the log.
Why it's wrong here
Page compression reduces data storage and I/O but does not reduce log writes significantly.
- ✓
Enable accelerated database recovery to reduce the log space required for long-running transactions.
Why this is correct
Accelerated Database Recovery reduces log space needed for long-running transactions, improving log write throughput during batch operations.
- ✗
Increase the initial size of the transaction log file to 200 GB and set the auto-growth increment to a fixed size of 1 GB.
Why it's wrong here
Azure SQL Database manages log file sizing automatically; manually configuring initial size and auto-growth is not supported, so this option is not applicable.
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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