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Oracle 1Z0-084 Exam Questions
- Topic 1: Basic Tuning Methods and Diagnostics: This section covers the key aspects of tuning methodologies, including the different phases of the tuning lifecycle, the time model used to understand performance, the concept of wait events, and the use of dynamic performance views to diagnose performance problems.
- Topic 2: Using Statspack: This topic focuses on configuration and installation of Statspack. It also explains how to use Statspack to diagnose problems.
- Topic 3: Using Log and Trace Files to Monitor Performance: This topic covers the use of Alert Log to Monitor Performance. Moreover, it also discusses usage of Trace files to Monitor Performance.
- Topic 4: Using Metrics, Alerts and Baselines: Monitoring of performance by using metric thresholds and alerts is discussed. It also focuses on the usage of AWR baselines for the monitoring of performance.
- Topic 5: Using AWR-Based Tools: This topic is about diagnosing issues related to performance by using ADDM and ASH reports. It also dives into usage of Automated Maintenance Tasks for the management of Performance.
- Topic 6: Performing Oracle Database Application Monitoring: It focuses on implementation of Real-Time Database Operation Monitoring. The topic also covers configuration and usage of services to monitor database Application performance.
- Topic 7: Identifying Problem SQL Statements: It focuses on the phases of SQL statement processing, usage of formatted output of SQL Trace, and assessment of Adaptive and Dynamic Execution plans. The topic also dives into the sub-topic which is related to Monitoring Automatic Reoptimization and SQL Plan Directives.
- Topic 8: Influencing the Optimizer: It explains the influence of statistics and parameters of configuration.
- Topic 9: Reducing the Cost of SQL Operations: This topic covers Shrinking Segments, Management of Chaining and Migration, and Configuration of Index and Table Performance Options. It also discusses configuration of table compression and diagnosis and tuning of space related issues.
- Topic 10: Using Real Application Testing: Usage of SQL Performance Analyzer to assess the impact of database changes is discussed in this topic. It also focuses on the usage of Database Replay to evaluate the impact of system change on performance.
- Topic 11: SQL Performance Management: This section focuses on the management of optimizer statistics, the use of the Optimizer Statistics Advisor, the leveraging of the SQL Access and SQL Tuning advisors to tune SQL statements, and the application of SQL Plan Management to improve SQL statement performance.
- Topic 12: Tuning the Shared Pool: It covers the tuning of the shared pool in the Oracle database, including diagnosing and resolving performance problems related to the shared pool, as well as managing and tuning the result cache.
- Topic 13: Tuning the Buffer Cache: The topic addresses delves into diagnosing and resolving performance problems related to the buffer cache, as well as diagnosing database I/O issues. Additionally, the topic explains the configuration of Big Table Caching and Flash Cache.
- Topic 14: Tuning the PGA: This section focuses on diagnosing and resolving performance issues related to the PGA, as well as addressing performance issues related to the temporary tablespace.
- Topic 15: Using Automatic Memory Management: It covers the use of Automatic Memory Management in the Oracle database, including the configuration of Automatic Shared Memory Management and Automatic Memory Management.
- Topic 16: Using In-Memory Features: It focuses on the configuration and utilization of the In-Memory column store to improve SQL performance. The topic also discusses use of the In-Memory column store with other database features.
Free Oracle 1Z0-084 Exam Actual Questions
Note: Premium Questions for 1Z0-084 were last updated On Jun. 22, 2025 (see below)
Which three types of statistics are captured by statspack with snap level 6?
Statspack is a performance diagnostic tool provided by Oracle prior to the introduction of the Automatic Workload Repository (AWR). At snap level 6, Statspack captures the following types of statistics:
A (Correct): Parent and child latches are captured. Latch statistics provide information about contention for latches, which are low-level serialization mechanisms used by Oracle.
E (Correct): Enqueue statistics, which provide information on the waits for locks that manage the concurrency between users.
F (Correct): Segment-level statistics, which provide detailed information on database segments such as tables, indexes, etc., to identify I/O and contention issues.
C (Incorrect): While optimizer execution plans are an essential aspect of performance tuning, detailed execution plan capture is not part of the Statspack report at level 6.
D (Incorrect): Plan usage data refers to how frequently a plan is being used, which is more associated with AWR and not typically captured in Statspack reports.
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 two options are part of a Soft Parse operation?
During a soft parse, Oracle checks the shared SQL area to see if an incoming SQL statement matches one already in the shared pool. This operation includes syntax and semantic checks. The syntax check ensures the statement is properly formed, and the semantic check confirms that all the objects referenced in the SQL statement exist and that the user has the necessary privileges to access them. Reference:
Oracle Database Concepts, 19c
Oracle Database SQL Tuning Guide, 19c
Which two actions can cause invalidation or loss of one or more results in the SQL Query Result Cache?
The SQL Query Result Cache stores the results of queries and PL/SQL function calls for reuse. However, entries in the result cache can be invalidated or lost under certain conditions:
A) Results can be aged out of the cache when the cache becomes full and new results need to be stored. This process ensures that the cache does not exceed its allocated memory and that it contains the most recently used entries.
B) Setting the RESULT_CACHE_MAX_SIZE parameter to 0 will effectively disable the result cache and all cached results will be lost, as Oracle will no longer allocate any memory to the result cache.
Oracle Database Performance Tuning Guide, 19c
Which three statements are true about using the in Memory (IM) column store?
The Oracle In-Memory (IM) column store feature enhances the performance of databases by providing a fast columnar storage format for analytical workloads while also potentially benefiting OLTP workloads.
C (True): It can improve OLTP workload performance by providing a faster access path for full table scans and reducing the need for indexes in certain scenarios, as the In-Memory store allows for efficient in-memory scans.
E (True): The In-Memory column store does not require all database data to fit in memory. It can be used selectively for performance-critical tables or partitions, and Oracle Database will manage the population and eviction of data as needed.
F (True): In-Memory column store can significantly improve performance for queries joining several tables, especially when bloom filters are used, as they are highly efficient with the columnar format for large scans and join processing.
The other options provided are not correct in the context of the In-Memory column store:
A (False): While In-Memory column store is designed for analytical queries rather than caching results of function evaluations, it does not specifically avoid improving performance for queries using cached results of function evaluations.
B (False): In-Memory column store can improve the performance of queries that use join groups, which can be used to optimize joins on columns from different tables.
D (False): In-Memory column store can improve the performance of queries using expressions, including user-defined virtual columns, because it supports expression statistics which help in optimizing such queries.
Oracle Database In-Memory Guide: In-Memory Column Store in Oracle Database
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