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Oracle AI Database: Performance Management and Tuning ELS

The Oracle AI Database: Performance Management and Tuning ELS course equips database administrators and performance analysts with advanced skills to diagnose and resolve complex performance bottlenecks in Oracle AI Database 26ai environments. Targeting DBAs managing enterprise-scale systems, it solves the critical pain point of degraded query response times impacting business operations. With over 40% of enterprises citing database performance as a top cloud efficiency challenge (Oracle Cloud Infrastructure Report 2025), this training delivers mastery in AWR, ADDM, Statspack, and Enterprise Manager tools to optimize SQL execution and resource utilization.

This course prepares learners for the Oracle AI Database Administration Professional certification. Koenig Solutions provides official vendor-authorized courseware and Guaranteed-to-Run dates, ensuring uninterrupted access to live instruction. Enroll to gain hands-on expertise that translates into measurable improvements in system throughput and career advancement into senior database engineering roles.

40 Hours (5 Days)
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0+ professionals trained

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Course Overview

The Oracle AI Database: Performance Management and Tuning ELS course by Oracle is designed for database professionals responsible for optimizing the performance of Oracle AI Database environments, particularly the latest 26ai version. This advanced training prepares candidates for the Oracle AI Database Administration Professional certification (1Z0-183) and serves roles such as Senior Database Administrator, AI Database Engineer, and Cloud Database Architect. With over 430,000 Oracle Database installations worldwide and increasing adoption of AI-powered databases in enterprise environments, demand for certified performance tuning experts continues to grow across finance, healthcare, and telecommunications sectors.

Participants engage with core Oracle technologies including Automatic Database Diagnostic Monitor (ADDM), SQL Tuning Advisor, Automatic Workload Repository (AWR), Active Session History (ASH), Statspack, and Oracle Enterprise Manager Cloud Control 13c. The hands-on lab environment leverages Oracle’s official console interface, where students configure performance baselines, analyze DB Time metrics, generate ADDM reports, and implement tuning recommendations. A key real-world scenario involves diagnosing a simulated production slowdown by correlating wait events, identifying high-load SQL statements, and applying corrective actions using SQL Tuning Advisor—mirroring actual troubleshooting workflows in enterprise data centers.

This course directly supports preparation for the Oracle AI Database Administration Professional certification (1Z0-183), a globally recognized credential validating expertise in AI-enhanced database performance management. Certified professionals command average salaries of $125,000 annually, with senior roles reaching $160,000+ in major tech markets. Koenig Solutions enhances learning with Guaranteed-to-Run batches, official Oracle University courseware, and access to expert instructors for personalized guidance. Completing this training positions IT professionals to lead performance optimization initiatives in AI-driven database environments, ensuring systems operate at peak efficiency while advancing into high-demand cloud and AI-focused database roles.

What You'll Learn

Implement time model statistics to identify performance bottlenecks and reduce total database response time by 15 percent.
Configure Automatic Workload Repository snapshots and baselines to establish performance benchmarks and achieve a 20 percent improvement in trend analysis accuracy.
Execute Oracle Automatic Database Diagnostic Monitor tasks to automate root cause analysis and decrease mean time to resolution by 30 percent.
Optimize Oracle AI Database performance through Oracle Enterprise Manager Cloud Control to maintain system availability at 99.99 percent.
Analyze Active Session History data to diagnose first-fault issues and reduce query latency by 25 percent during peak load periods.
Configure Statspack reporting to refine SQL workloads and increase resource utilization efficiency by 10 percent.

Prerequisites

Recommended knowledge before taking this course
  • Oracle AI Database: Performance Management and Tuning ELS requires foundational knowledge of Oracle Database administration, including instance startup/shutdown and storage management.
  • Experience with SQL tuning techniques and tools such as SQL Tuning Advisor and SQL Access Advisor is essential for effective performance tuning.
  • Familiarity with Oracle Enterprise Manager Cloud Control 13c for database monitoring and management enhances your ability to optimize Oracle AI Database performance.
  • Working knowledge of Automatic Workload Repository (AWR), Automatic Database Diagnostic Monitor (ADDM), and Active Session History (ASH) is vital for diagnosing and improving database performance.
  • Understanding of Oracle Diagnostics Pack and Oracle Tuning Pack licensing and features helps you leverage advanced performance tools in Oracle AI Database.
  • Prior completion of Oracle Database 12c R2: Install and Upgrade Workshop or equivalent experience is recommended to maximize learning outcomes in performance tuning.
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Certification Exam

Everything you need to know about the D1110385GC10 certification exam

Exam Details
Exam Name
1Z0-084
Format
Multiple choice, labs & case studies
Questions
Duration
Passing Score
Validity
Retake Policy
Candidates may retake the exam after 14 days if failed; each attempt requires a new exam voucher. Candidates may not retake a passed exam.
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Oracle AI Database: Performance Management and Tuning ELS

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Course Curriculum

Structured learning with hands-on labs and real-world scenarios

1
Day 1– Oracle Database 23ai Performance Management
Execute performance management for Oracle Database 23ai Configure Automatic Workload Repository (AWR) baselines Classify essential database tuning types Apply proven Oracle tuning methodologies Set measurable database tuning goals Optimize complex CDB environment performance Utilize advanced performance diagnostic tools Leverage Oracle performance management utilities
2
Day 2– Oracle Database 23ai Issue Diagnosis
Analyze AI Vector Search performance tuning metrics Limit scope of performance issues Determine high-impact tuning priorities Recognize common Oracle tuning bottlenecks Follow Oracle database tuning lifecycles Monitor enterprise application development cycles Test database configuration for stability Deploy and monitor production environments
3
Day 3– Time Model and Statistics Analysis
Use Oracle Time Model statistics Analyze precise DB Time metrics Evaluate CPU and wait times Navigate Oracle time model hierarchy Interpret top database timed events Query dynamic Oracle performance views Set optimal database statistic levels Monitor real-time instance activity
4
Day 4– Monitoring with AWR, Statspack, and ASH
Install and configure Oracle Statspack Capture critical AWR performance snapshots Manage AWR data in multitenant Generate detailed AWR performance reports Compare historical database performance periods Access Active Session History (ASH) Perform advanced ASH skew analysis Use emergency database monitoring techniques
5
Day 5– Advanced Performance Tools and SQL Tuning
Run Automatic Database Diagnostic Monitor (ADDM) tasks Execute SQL Tuning Advisor tasks Configure Real-Time ADDM monitoring Implement SQL Plan Management (SPM) baselines Optimize JSON Relational Duality View performance Configure efficient database maintenance windows Process complex SQL statement phases Identify poorly performing SQL statements

What's Included in Your Training

Every enrollment comes packed with resources to maximise your learning and exam success

Career Outcomes

78%

of D1110385GC10 certified professionals report career advancement within 6 months

Salary Impact

+28%

Average salary increase reported after obtaining the D1110385GC10 certification

Typical Salary Range (Global)
Entry$90,000–$115,000
Mid$115,000–$145,000
Senior$145,000–$180,000

*Source: Glassdoor / LinkedIn 2025

Job Roles

6
  • Oracle Database Administrator
  • Database Performance Engineer
  • Senior Oracle DBA
  • Database Tuning Specialist
  • Oracle AI Database Architect
  • Performance Management Consultant

Companies Hiring

5,000+
Oracle IBM Accenture Deloitte JPMorgan Chase Bank of America Capgemini Infosys TCS Wipro

and 5,000+ organizations worldwide seeking D1110385GC10 certified professionals

Real Transformations

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  • ★★★★★

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  • ★★★★★

    “From AZ-900 to AZ-305 in 6 months. Koenig's structured roadmap and MCT mentoring made the expert level achievable.”

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  • ★★★★★

    “SC-900 and SC-300 back to back — both cleared first try. The security curriculum at Koenig is incredibly thorough and up to date.”

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    SC-300 Certified ✓ Verified
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    Data Platform Engineer

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