The Oracle 1Z0-084 exam validates your expertise in Oracle Database 19c performance management and tuning. This certification is designed for database administrators, performance engineers, and architects who need to optimize Oracle Database environments for speed, reliability, and cost efficiency. This landing page provides a structured overview of the exam syllabus, question formats, and actionable preparation strategies to help you pass with confidence. Whether you're new to performance tuning or building on existing knowledge, this guide maps the core topics and connects them to real-world scenarios you'll encounter in production systems.
Use this topic map to guide your study for Oracle 1Z0-084 (Oracle Database 19c: Performance Management and Tuning) within the Oracle Database path.
The 1Z0-084 exam measures both theoretical knowledge and practical problem-solving ability through a mix of question styles. You will encounter items that test your understanding of performance concepts, your ability to interpret diagnostic data, and your judgment in selecting tuning strategies for specific scenarios.
Questions progress from foundational concepts to complex decision-making, reflecting the depth of knowledge required to manage performance in production Oracle Database environments.
An efficient study plan maps each topic to weekly milestones and alternates between learning, practice, and review cycles. This approach builds both breadth of knowledge and depth of understanding across diagnostic tools, tuning techniques, and real-world application scenarios. Dedicate time to hands-on labs and mock exams to reinforce concepts and develop confidence.
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SQL Performance Management, Identifying Problem SQL Statements, and AWR-Based Tools typically account for a significant portion of the exam, as they directly address the most common performance challenges in production environments. Basic Tuning Methods and Diagnostics also appear frequently because they form the foundation for all other tuning activities. Focus your study time proportionally on these high-impact domains while ensuring you have working knowledge of all topics.
In practice, you start with AWR or Statspack to identify top resource consumers and time-based trends, then drill into specific SQL statements using diagnostic views and trace files to understand execution plans and wait events. This layered approach moves from system-wide perspective to SQL-level detail, helping you isolate root causes and validate fixes. Understanding how these tools complement each other is essential for scenario-based questions on the exam.
While the exam does not require you to perform live tuning during the test, hands-on experience significantly improves your ability to answer scenario-based questions correctly. Prioritize labs that involve running diagnostic queries, interpreting AWR reports, adjusting memory parameters, and analyzing execution plans. Even a few hours of practical work with these tools will build intuition that helps you eliminate wrong answers quickly.
Many candidates confuse similar tuning techniques (e.g., PGA tuning vs. Shared Pool tuning) or misunderstand when to apply each method. Others overlook the importance of establishing baselines before tuning, leading to incorrect answers about how to measure improvement. Additionally, some candidates underestimate the weight of diagnostic interpretation; practice reading AWR and Statspack output carefully to avoid misreading data.
Focus on high-weight topics and re-attempt questions you previously answered incorrectly to understand the concepts you're still unsure about. Take one full-length timed mock exam to simulate test conditions and refine your pacing. Avoid cramming new material; instead, review summary notes and reinforce weak areas through targeted practice questions. Get adequate sleep the night before the exam to ensure mental clarity.
You are informed that the RMAN session that is performing the database duplication is much slower than usual. You want to know the approximate time when the rman operation will be completed.
Which view has this information?
In Oracle Database, the V$SESSION_LONGOPS view provides insights into various operations within the database that are expected to take more than six seconds to complete. These include operations related to RMAN (Recovery Manager), such as database duplication tasks. This view displays information about the progress of these long-running operations, including the start time, elapsed time, and estimated time to completion.
When an RMAN session is performing a database duplication and is observed to be slower than usual, checking the V$SESSION_LONGOPS view can give an approximation of when the RMAN operation might complete. This view includes fields like TIME_REMAINING and ELAPSED_SECONDS that help in estimating the completion time of the operation based on its current progress.
Oracle Database Reference: V$SESSION_LONGOPS
Oracle Database Backup and Recovery User's Guide: Monitoring RMAN Jobs
Which application lifecycle phase could be managed reactively?
The production phase of the application lifecycle is often managed reactively. While proactive measures and performance tuning are essential, unforeseen issues can arise in production that require immediate attention and resolution. Reactive management involves monitoring performance and responding to issues as they occur, ensuring the application maintains acceptable performance levels for end-users.
Reference
Oracle Database 19c Performance Tuning Guide - Reactive Tuning
18. The application provider has given full indications regarding the procedure to collect statistics.
To reduce the space used in the SYSAUX tablespace, you want to prevent the optimizer statistics Advisor from running.
Which method will allow you to do this?
The Oracle Optimizer statistics advisor, which is part of the automated tasks framework, can be disabled using the DBMS_AUTO_TASK_ADMIN package. This will prevent it from running and thus reduce space usage in the SYSAUX tablespace. Reference:
Oracle Database PL/SQL Packages and Types Reference, 19c
Which Optimizer component helps decide whether to use a nested loop join or a hash join in an adaptive execution plan?
In an adaptive execution plan, the Optimizer makes runtime decisions between nested loop and hash joins using a statistics collector. The collector is a row source that collects statistics about the rows it processes and can adapt the plan based on the number of rows processed.
Oracle Database SQL Tuning Guide, 19c
Which three statements are true about server-generated alerts?
Server-generated alerts in Oracle Database are designed to notify DBAs and other administrators about issues within the database environment. These alerts can be triggered by a variety of conditions, including threshold-based metrics and specific events such as ORA- error messages. Here's how these options align with the statements provided:
A (True): Server-generated alerts are indeed notifications from the Oracle Database Server that highlight existing or impending issues. These alerts are part of Oracle's proactive management capabilities, designed to inform administrators about potential problems before they escalate.
C (True): These alerts are logged in the alert log of the Oracle Database. The alert log is a crucial diagnostic tool that records major events and changes in the database, including server-generated alerts. This log is often the first place DBAs look when troubleshooting database issues.
F (True): Server-generated alerts may include suggestions for correcting identified problems. Oracle Database often provides actionable advice within these alerts to assist in resolving issues more efficiently. These suggestions can range from adjusting configuration parameters to performing specific maintenance tasks.
Options B, D, and E do not accurately describe server-generated alerts:
B (False): While the statement might have been true in some contexts, Oracle's server-generated alerts often include corrective suggestions, making this statement incorrect.
D (False): Server-generated alerts can be viewed from various interfaces, not just the Cloud Control Database home page. They are accessible through Enterprise Manager, SQL Developer, and directly within the database alert log, among other tools.
E (False): While it's true that threshold settings for some alerts can be modified, the method specified, using DBMS_SERVER_ALERT, is not correct. Threshold settings are typically adjusted through Enterprise Manager or by modifying specific initialization parameters directly.
Oracle Database Documentation: Oracle Database 19c: Performance Management and Tuning
Oracle Base: Alert Log and Trace Files
Oracle Support: Understanding and Managing Server-Generated Alerts