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Earning the Oracle 1Z0-084 Certification is an excellent way to showcase your knowledge and expertise in the performance tuning of the Oracle Database. Oracle Database 19c Performance and Tuning Management certification demonstrates that you have the necessary skills to maintain an optimal database performance in any situation. Additionally, this certification provides various career opportunities, such as performing the critical role of a Database Performance Analyst or becoming a team leader in developing an application in a high-performance database environment.

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Oracle 1Z0-084 Exam Syllabus Topics:

Topic	Details
Topic 1	Influencing the Optimizer: It explains the influence of statistics and parameters of configuration.
Topic 2	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 3	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 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 Statspack: This topic focuses on configuration and installation of Statspack. It also explains how to use Statspack to diagnose problems.
Topic 6	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 7	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 8	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 9	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 10	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 11	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 12	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 13	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.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q12-Q17):

NEW QUESTION # 12
Which two statements are true about space usage in temporary tablespaces?

A. Temporary tablespaces setting Includes quotas to limit temporary space used by a session for that Temporary tablespace.
B. When a global temporary table instantiation is too large to fit in memory, space is allocated in a temporary tablespace.
C. When a session consumes all temporary tablespace storage, then the session would hang until the temporary space used by that session is cleared.
D. Lack of temporary tablespace space for sort operations can be prevented by using temporary tablespace groups.
E. A sort will fail if a sort to disk requires more disk space and no additional extent can be found/allocated in/for the sort segment.

Answer: B,D

Explanation:
Regarding space usage in temporary tablespaces, the following statements are true:
* A (Correct): When a global temporary table or a sort operation exceeds the available memory, Oracle Database allocates space in a temporary tablespace to store the temporary data or intermediate results.
* E (Correct): Using temporary tablespace groups can prevent insufficient temporary tablespace for sort operations by providing a collective pool of space from multiple temporary tablespaces, which can be used for user sorting operations.
The other options provided have inaccuracies:
* B (Incorrect): Oracle does not provide a mechanism for setting quotas on temporary tablespaces.
Quotas can be set for permanent tablespaces but not for temporary ones.
* C (Incorrect): A sort operation may fail due to insufficient space, but Oracle will attempt to allocate space in the temporary tablespace dynamically. If no space can be allocated, an error is returned rather than a sort failure.
* D (Incorrect): If a session consumes all available temporary tablespace storage, Oracle will not hang the session; it will return an error to the session indicating that it has run out of temporary space.
References:
* Oracle Database Administrator's Guide: Managing Space for Schema Objects
* Oracle Database Concepts: Temporary Tablespaces

NEW QUESTION # 13
Database performance has degraded recently.
index range scan operations on index ix_sales_time_id are slower due to an increase in buffer gets on sales table blocks.
Examine these attributes displayed by querying DBA_TABLES:

Now, examine these attributes displayed by querying DBA_INDEXES:

Which action will reduce the excessive buffer gets?

A. Re-create the SALES table using the columns in IX_SALES_TIME_ID as the hash partitioning key.
B. Re-create the SALES table sorted in order of index IX_SALES_TIME_ID.
C. Re-create index IX_SALES_TIME_ID using ADVANCED COMPRESSION.
D. Partition index IX_SALES_TIME_ID using hash partitioning.

Answer: C

Explanation:
Given that index range scan operations on IX_SALES_TIME_ID are slower due to an increase in buffer gets, the aim is to improve the efficiency of the index access. In this scenario:
* B (Correct): Re-creating the index using ADVANCED COMPRESSION can reduce the size of the index, which can lead to fewer physical reads (reduced I/O) and buffer gets when the index is accessed, as more of the index can fit into memory.
The other options would not be appropriate because:
* A (Incorrect): Re-creating the SALES table sorted in order of the index might not address the issue of excessive buffer gets. Sorting the table would not improve the efficiency of the index itself.
* C (Incorrect): Using the columns in IX_SALES_TIME_ID as a hash partitioning key for the SALES table is more relevant to data distribution and does not necessarily improve index scan performance.
* D (Incorrect): Hash partitioning the index is generally used to improve the scan performance in a parallel query environment, but it may not reduce the number of buffer gets in a single-threaded query environment.
References:
* Oracle Database SQL Tuning Guide: Managing Indexes
* Oracle Database SQL Tuning Guide: Index Compression

NEW QUESTION # 14
A database instance is suffering poor I/O performance on two frequently accessed large tables.
No Big Table caching occurs in the database.
Examine these parameter settings:

Which are two actions either one of which will allow Big Table caching to occur?

A. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 50
B. Setting PARALLEL_DEGREE_POLICYADAPTIVE
C. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25
D. Setting DB_KEEP_CACHE_SIZE to at least 50M
E. Increasing DB_CACHESIZE to 1 G
F. Setting PARALLEL_DEGREE_POLICYAUTO

Answer: C,E

Explanation:
Big Table caching is a feature that allows frequently accessed large tables to be cached in memory to improve I/O performance. From the parameter settings provided, Big Table caching is not occurring because DB_BIG_TABLE_CACHE_PERCENT_TARGETis set to 10, which is the minimum threshold for enabling the feature, but the size of the cache is too small for the big tables to be effectively cached.
To enable Big Table caching, one of the following actions could be taken:
* C (Correct):IncreasingDB_BIG_TABLE_CACHE_PERCENT_TARGETto at least 25. This action would allocate a larger percentage of the buffer cache for storing big tables, which could allow for caching large tables and thus improve I/O performance.
* D (Correct):IncreasingDB_CACHE_SIZEto 1G. Since the size of the buffer cache is a determining factor for how much data can be cached, increasing this parameter would provide more memory space for big tables to be cached.
Options A, B, E, and F will not enable Big Table caching because:
* A:IncreasingDB_BIG_TABLE_CACHE_PERCENT_TARGETto 50 without adjusting the overall size of the cache might still not be sufficient if theDB_CACHE_SIZEis not large enough to hold the big tables.
* B:SettingDB_KEEP_CACHE_SIZEto at least 50M only specifies a separate buffer pool for objects with the KEEP cache attribute and does not affect Big Table caching.
* E:andF:Changing thePARALLEL_DEGREE_POLICYtoADAPTIVEorAUTOinfluences the behavior of parallel execution but does not directly enable or influence Big Table caching.
References:
* Oracle Database Performance Tuning Guide:Big Table Caching
* Oracle Database Reference:DB_BIG_TABLE_CACHE_PERCENT_TARGET
* Oracle Database Reference:DB_CACHE_SIZE

NEW QUESTION # 15
Which two types of performance problems are reported by ADDM for PDBS?

A. I/O capacity limits
B. User I/O waits
C. Excessive checkpoint writes
D. Top SQL statements
E. SGA sizing issues

Answer: A,B

Explanation:
The Automatic Database Diagnostic Monitor (ADDM) analyzes and reports on various types of performance problems. For Pluggable Databases (PDBs), it can identify issues such as I/O capacity limits which may hinder the overall performance by causing bottlenecks. Additionally, ADDM can report on user I/O waits, which can indicate performance issues related to the time it takes for user queries to read data from the disk.
References:
* Oracle Multitenant Administrator's Guide, 19c
* Oracle Database Performance Tuning Guide, 19c

NEW QUESTION # 16
Which two statements are true about cursor sharing?

A. Setting Cursor_sharing to FORCE can result in a plan that is suboptimal for the majority of values bound to a bind variable when executing a cursor with one or more bind variables.
B. Setting optimizer_capture_sql_plan_baselines to TRUE loads all adaptive plans for the same statement into the cursor cache.
C. Adaptive Cursor Sharing requires histograms on filtered columns, used in equality predicates, to allow different execution plans to be generated for statements whose bound values would normally generate different plans at hard parse time.
D. Setting cursor_sharing to EXACT prevents Adaptive Cursor Sharing from being used.
E. Adaptive Cursor Sharing guarantees that a suboptimal plan will never be used on any execution of a SQL statement.

Answer: A,D

Explanation:
A: WhenCursor_sharingis set toFORCE, Oracle tries to avoid hard parses by replacing literals in SQL statements with bind variables, even if the original statement didn't include bind variables. This can lead to the use of a single execution plan for multiple executions of a statement with different literal values, which might not be optimal for all executions.
D: Settingcursor_sharingtoEXACTensures that SQL statements must match exactly for them to share a cursor. This setting prevents the use of Adaptive Cursor Sharing (ACS) since ACS relies on the ability to share cursors among similar statements that differ only in their literal values. WithEXACT, there's no cursor sharing for statements with different literals, hence no opportunity for ACS to operate.
References:
* Oracle Database SQL Tuning Guide, 19c
* Oracle Database Reference, 19c

NEW QUESTION # 17
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