Concepts
Configuring Database Automatic Tuning
Database automatic tuning in Azure SQL solutions enables your database to optimize performance based on real-time monitoring.
Enabling Automatic Tuning
- Open the Azure portal and navigate to your Azure SQL Database.
- Click on “Automatic tuning” in the left navigation pane.
- Choose the desired tuning mode (Basic or Recommended).
- Azure SQL Database will start monitoring and optimizing your workload.
Monitoring Recommendations
- Access recommendations through the Azure portal or sys.dm_db_tuning_recommendations view.
- Review the recommendations under the “Automatic tuning recommendations” section.
Applying Recommendations
- Click on the desired recommendation to view details.
- Review the recommendation and click “Apply recommendation” to implement it.
- Azure SQL Database will make the necessary changes based on the recommendation.
Customizing Automatic Tuning
- Navigate to your Azure SQL Database in the Azure portal.
- Click on “Automatic tuning” in the left navigation pane.
- Under the “Customize” section, modify the automatic tuning mode or disable specific recommendations as per your requirements.
Answer the Questions in Comment Section
True/False: When configuring database automatic tuning, the optimization recommendations generated by the SQL Database Advisor are automatically applied without user intervention.
Answer: False
True/False: Database automatic tuning is available for all editions of Azure SQL Database.
Answer: True
Single Select: Which performance indicators does the Automatic Index Management feature of database automatic tuning consider when generating index recommendations?
- a) CPU usage
- b) Query execution times
- c) Disk usage
- d) All of the above
Answer: d) All of the above
Single Select: What is the purpose of the Automatic Plan Correction feature of database automatic tuning?
- a) It identifies and fixes non-optimized execution plans automatically.
- b) It suggests changes to query parameters for better performance.
- c) It automatically applies indexing recommendations generated by SQL Database Advisor.
- d) It enables automatic scaling of database resources based on workload patterns.
Answer: a) It identifies and fixes non-optimized execution plans automatically.
Multiple Select: Which database configuration options can be managed by the Automatic Tuning feature?
- a) Automatic Indexing
- b) Automatic Plan Correction
- c) Automatic Scaling
- d) Automatic Backup
Answer: a) Automatic Indexing
b) Automatic Plan Correction
Single Select: Which SQL performance issue can be addressed using the Automatic Plan Correction feature of database automatic tuning?
- a) High network latency
- b) Excessive memory consumption
- c) Inefficient query execution plans
- d) Slow disk throughput
Answer: c) Inefficient query execution plans
True/False: The Automatic Index Management feature of database automatic tuning can create and drop indexes on user-defined tables.
Answer: True
Multiple Select: Which benefits can be derived from enabling the Automatic Index Management feature?
- a) Improved query performance
- b) Reduced maintenance efforts
- c) Lower storage costs
- d) Enhanced security
Answer: a) Improved query performance
b) Reduced maintenance efforts
c) Lower storage costs
Single Select: What is the scope of database automatic tuning in Azure SQL Database?
- a) It applies only to individual queries within a database.
- b) It applies to all databases within a single Azure SQL Server.
- c) It applies to cross-database queries within an elastic pool.
- d) It applies to all databases within an Azure SQL Elastic Database pool.
Answer: b) It applies to all databases within a single Azure SQL Server.
True/False: The Automatic Index Management feature of database automatic tuning can automatically drop underutilized indexes to improve performance.
Answer: True
Great blog! The steps for configuring automatic tuning were really clear.
Thanks for sharing this, it was very helpful for my DP-300 preparation.
Does automatic tuning impact the performance during heavy load times?
Appreciate the detailed explanation and screenshots!
Is it possible to revert any changes made by automatic tuning?
Does this feature automatically adapt to the workload changes over time?
The info on query store settings was very informative. Thanks!
I had an issue where automatic tuning didn’t optimize a particular query. Any thoughts?