DP-300 Practice Question: Monitor, configure, and optimize database resources
You are optimizing a data warehouse workload on Azure SQL Database. The workload involves large batch inserts and nightly aggregations. You notice that the transaction log is growing excessively during the batch inserts, causing performance degradation. You need to reduce log growth without affecting data consistency. 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
✓
Use bulk insert operations with TABLOCK hint to enable minimal logging.
Using minimally logged operations (e.g., bulk insert with TABLOCK) reduces log space for large imports under the full recovery model, but requires specific conditions. Option A is wrong because simple recovery model is not supported in Azure SQL Database (only FULL, BULK_LOGGED is not available). Option C is wrong because partitioning does not reduce log growth. Option D is wrong because increasing log size only accommodates growth, does not prevent it.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Change the database recovery model to Simple.
Why it's wrong here
Azure SQL Database only supports FULL recovery model.
- ✓
Use bulk insert operations with TABLOCK hint to enable minimal logging.
Why this is correct
Minimal logging reduces log space for large imports under full recovery model.
- ✗
Create a partition function and scheme to spread the inserts.
Why it's wrong here
Partitioning helps manage data but does not reduce log growth.
- ✗
Increase the maximum log size of the database.
Why it's wrong here
Only accommodates growth; does not reduce it.
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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Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
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