Oracle 1Z0-084 Exam Topics
Oracle 1Z0-084 Exam
Oracle Database 19c: Performance Management and Tuning
Total Questions: 55What is Included in the Oracle 1Z0-084 Exam?
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Oracle 1Z0-084 Exam Overview :
| Exam Name | Oracle Database 19c: Performance Management and Tuning |
| Exam Code | 1Z0-084 |
| Official Information | https://education.oracle.com/oracle-database-19c-performance-management-and-tuning/pexam_1Z0-084 |
| See Expected Questions | Oracle 1Z0-084 Expected Questions in Actual Exam |
| Take Self-Assessment | Use Oracle 1Z0-084 Practice Test to Assess your preparation - Save Time and Reduce Chances of Failure |
Oracle 1Z0-084 Exam Topics :
| Section | Objectives |
|---|---|
| Basic Tuning Methods and Diagnostics | Tuning methodologies encompass a range of approaches and techniques aimed at optimizing system performance. Within tuning lifecycles, phases involve planning, analysis, implementation, and monitoring to systematically address performance issues. The time model provides a framework for analyzing system performance by categorizing time spent on various activities. Wait events are indicators of system bottlenecks, highlighting areas where resources are being underutilized. Diagnosing performance problems involves leveraging V$ views, which provide insights into system activity, resource usage, and performance metrics, enabling administrators to identify and address performance issues effectively. Together, these components form a comprehensive framework for optimizing system performance and enhancing overall efficiency. |
| Using Statspack | Installing and configuring Statspack enables the diagnosis of performance problems through comprehensive performance data collection and analysis, offering insights into system resource usage, SQL performance, and potential bottlenecks. |
| Using Log and Trace Files to Monitor Performance | Monitoring performance through log and trace files provides valuable insights into system behavior and resource utilization, facilitating the identification and resolution of performance. |
| Using Metrics, Alerts and Baselines | Monitoring performance via metric thresholds and alerts ensures proactive detection of anomalies, while leveraging AWR baselines provides a comparative analysis to monitor performance trends and deviations over time. |
| Using AWR-Based Tools | Diagnosing performance issues is facilitated through the use of Automated Database Diagnostic Monitor (ADDM) and Active Session History (ASH) reports, which analyze database activity and identify potential bottlenecks in real-time. Additionally, leveraging Automated Maintenance Tasks streamlines performance management by automating routine maintenance activities, ensuring optimal database performance and reliability. Together, these tools provide comprehensive insights and proactive measures to address performance challenges and maintain peak database efficiency. |
| Performing Oracle Database Application Monitoring | Implementing real-time database operation monitoring ensures proactive identification of performance issues, while configuring and utilizing services facilitates effective monitoring of database application performance, optimizing overall system efficiency and responsiveness. |
| Identifying Problem SQL Statements | Understanding the phases of SQL statement processing is crucial for identifying performance bottlenecks, with interpretation of execution plans providing insights into query optimization. Leveraging formatted output from SQL Trace or optimizer traces helps pinpoint poorly performing SQL statements, while monitoring adaptive and dynamic execution plans ensures efficient query processing. Additionally, tracking automatic reoptimization and SQL plan directives enhances performance management by adapting to changing workload demands and optimizing query execution strategies accordingly. |
| Using Real Application Testing | Using SQL Performance Analyzer enables thorough testing of database changes' impact on performance, while Database Replay assesses the effects of system changes on performance, facilitating informed decision-making for optimization strategies. |
| SQL Performance Management | Effectively managing optimizer statistics and utilizing tools like the Optimizer Statistics Advisor, SQL Access Advisor, SQL Tuning Advisor, and SQL Plan Management ensures optimized SQL statement performance and database efficiency. |
| Tuning the Shared Pool | Diagnosing and resolving performance issues concerning the shared pool, alongside managing and tuning the Result Cache, optimizes memory utilization and enhances database performance. |
| Tuning the Buffer Cache | Diagnosing and resolving buffer cache performance issues, diagnosing database I/O problems, and configuring Big Table Caching and Flash Cache optimize data access and enhance overall system performance. |
| Using Automatic Memory Management | Configuring Automatic Shared Memory Management and Automatic Memory Management optimizes memory allocation, ensuring efficient utilization and improved performance in Oracle databases. |
| Using In-Memory Features | Configuring and utilizing the in-memory column store enhances SQL performance, while leveraging it alongside other database features further optimizes overall database efficiency and responsiveness. |
| Basic Tuning Methods and Diagnostics | In the realm of performance tuning methodologies, understanding tuning lifecycle phases is essential, including aspects like describing the time model, explaining wait events, and diagnosing performance issues through V$ views. These phases collectively form a comprehensive approach to optimizing system performance, encompassing initial analysis, implementation of optimizations, and ongoing monitoring and adjustment. By delving into the time model, practitioners gain insights into system resource consumption and performance metrics, while understanding wait events provides crucial context on system bottlenecks and areas for improvement. Utilizing V$ views for diagnosing performance problems offers valuable real-time data and metrics, facilitating targeted interventions to enhance system efficiency and responsiveness. |
| Influencing the Optimizer | Understanding the impact of statistics on the optimizer is crucial in database performance optimization. Statistics provide vital information about data distribution and cardinality, enabling the optimizer to generate efficient execution plans. By comprehending this influence, database administrators can configure parameters to influence the optimizer's behavior, such as adjusting query optimizer settings or database parameters. Fine-tuning these parameters ensures optimal query execution and enhances overall database performance, contributing to improved system efficiency and responsiveness. |
| Reducing the Cost of SQL Operations | In database management, addressing space-related issues involves various strategies such as shrinking segments, managing chaining and migration, configuring index and table performance options, and implementing table compression. Shrinking segments optimize storage utilization by reclaiming unused space within database objects, while managing chaining and migration ensures efficient data storage and retrieval. Configuring index and table performance options enhances query execution efficiency, while table compression reduces storage requirements and improves I/O performance. Additionally, diagnosing and tuning space-related issues involves identifying and resolving issues such as fragmentation and inadequate storage allocation, ensuring optimal database performance and resource utilization. |
| Tuning the PGA | Diagnosing and resolving performance issues related to PGA (Program Global Area) and temporary tablespace are critical tasks in database management. PGA performance issues, such as inefficient memory usage or inadequate configuration settings, can lead to degraded system performance. By analyzing PGA-related metrics and configurations, database administrators can identify and address issues to optimize memory usage and enhance overall system performance. Similarly, temporary tablespace performance issues, such as insufficient space or contention, can impact database operations. Through careful monitoring and analysis of temporary tablespace usage and configuration, administrators can diagnose and resolve issues to ensure efficient data processing and system stability. |
Updates in the Oracle 1Z0-084 Exam Topics:
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