Podcast
Questions and Answers
What is a primary consideration when tuning database performance?
What is a primary consideration when tuning database performance?
- Implementing additional software resources.
- Understanding the workload on the database system. (correct)
- Regularly updating the operating system.
- Increasing disk space capacity dramatically.
What tool can be used to monitor system performance and identify bottlenecks in a database?
What tool can be used to monitor system performance and identify bottlenecks in a database?
- Task Manager
- Network performance analyzer
- Database monitoring tools (correct)
- Disk cleanup utility
Which of the following factors should be adjusted to maintain optimal database performance?
Which of the following factors should be adjusted to maintain optimal database performance?
- Operating system user permissions.
- Developer training sessions.
- Buffer cache size. (correct)
- Software update frequency.
Which aspect of query optimization is critical to ensure efficient database performance?
Which aspect of query optimization is critical to ensure efficient database performance?
What impact does lock contention have on database performance?
What impact does lock contention have on database performance?
What type of backup only copies changes made since the last full or incremental backup?
What type of backup only copies changes made since the last full or incremental backup?
Which of the following best describes recovery time objective (RTO)?
Which of the following best describes recovery time objective (RTO)?
Which SQL query optimization technique can significantly improve performance by organizing data access?
Which SQL query optimization technique can significantly improve performance by organizing data access?
What is the primary function of data masking in a database?
What is the primary function of data masking in a database?
Which principle emphasizes providing users with the minimum level of access necessary to perform their functions?
Which principle emphasizes providing users with the minimum level of access necessary to perform their functions?
What role does RMAN (Recovery Manager) play in database management?
What role does RMAN (Recovery Manager) play in database management?
Which of the following is NOT a benefit of employing regular recovery procedure tests?
Which of the following is NOT a benefit of employing regular recovery procedure tests?
What is the impact of using appropriate join types in SQL queries?
What is the impact of using appropriate join types in SQL queries?
Flashcards
Database Performance Tuning
Database Performance Tuning
Optimizing database performance by identifying and resolving bottlenecks.
Hardware Resources for DB
Hardware Resources for DB
Choosing enough RAM and CPU power needed for the Database.
Buffer Cache Tuning
Buffer Cache Tuning
Adjusting the buffer cache size to optimize database speed.
Query Plan
Query Plan
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Database Monitoring
Database Monitoring
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Backup Types
Backup Types
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Query Execution Plan
Query Execution Plan
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Indexing
Indexing
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Data Encryption
Data Encryption
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Access Control
Access Control
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RTO
RTO
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RPO
RPO
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SQL Query Optimization
SQL Query Optimization
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Study Notes
Backup and Recovery
- Understanding different backup types (full, incremental, differential) is crucial for disaster recovery planning.
- Full backups copy the entire database, while incremental backups only copy changes since the last full or incremental backup.
- Differential backups copy changes since the last full backup.
- RMAN (Recovery Manager) is a powerful tool for managing backups and restores.
- Efficient backup strategies minimize downtime and ensure data integrity.
- Recovery procedures should be tested regularly to ensure success in case of a failure.
- Database restore procedures are necessary for recovering data after a failure.
- Effective backup design includes choosing the right backup type, frequency, and retention policy.
- Understanding recovery time objectives (RTO) and recovery point objectives (RPO) helps design an effective backup strategy.
SQL Query Optimization
- Understanding query execution plans is essential for optimizing queries.
- Indexing can significantly speed up query performance. Choosing appropriate indexes is critical.
- Using appropriate join types (e.g., inner, outer) ensures optimal join performance.
- Avoiding correlated subqueries or using appropriate techniques for reducing their impact.
- Using appropriate data types for columns to prevent implicit conversions during query execution.
- Writing efficient SQL queries, including correct use of
WHERE
,JOIN
,GROUP BY
,ORDER BY
clauses. - Employing the use of hints to influence query plan for maximum performance.
- Using appropriate techniques for filtering large datasets (e.g.
IN
,EXISTS
,NOT IN
). - Analyzing query performance using monitoring tools and SQL trace facilities to identify performance bottlenecks.
Data Security
- Data encryption plays a key role in safeguarding sensitive information.
- Access control mechanisms, such as roles, privileges, and users, should be implemented.
- Applying proper security measures to protect data at rest and in transit.
- Implementing audit trails to track database activity is essential for security monitoring.
- Data masking and pseudonymisation techniques can protect sensitive data while still allowing analysis.
- Understanding the importance of least privilege principle in granting access.
- Robust password policies and regular password changes are important to secure accounts.
- Monitoring for security threats and responding promptly is crucial.
- Securing the database server's physical location is important.
- Implementing Intrusion Detection and Prevention Systems (IDPSs) is critical.
Performance Tuning
- Database performance tuning involves identifying and addressing bottlenecks.
- Using appropriate hardware resources for the database such as RAM, CPU capacity.
- Tuning buffer cache size for optimal performance.
- Monitoring system performance with database monitoring tools.
- Monitoring wait events for insight into bottlenecks during queries.
- Understanding the performance considerations involving the optimizer and query plan. Use of the execution plan is critical.
- Correct indexing, statistics collection, and maintaining statistics in the database schema are important to ensure optimal performance.
- Performance tuning requires understanding the workload on the database system.
- Adjusting parameters according to workload changes to maintain performance.
- Employ tools to monitor for lock contention which impacts performance.
- Understanding and tuning the database configuration parameters for best performance.
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