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Oracle 1Z0-084 exam covers a range of topics, including performance tuning methodology, performance tuning tools, SQL tuning, and memory tuning. Additionally, the exam covers topics such as managing resources and diagnosing and resolving performance issues. 1z1-084 exam is available in multiple languages and comprises 60 multiple-choice questions, which need to be completed in 120 minutes. Candidates must score at least 63% to pass the exam and receive the certification. Oracle Database 19c Performance and Tuning Management certification is valid for a period of 18 months, after which candidates must retake the exam to maintain their certification.

Oracle 1Z0-084 exam is a comprehensive test that covers a range of topics related to database performance and tuning management. These topics include SQL tuning, database instance tuning, memory management, and troubleshooting performance issues. 1z1-084 Exam also evaluates the ability of the candidate to use various performance tuning tools and features of Oracle Database 19c.

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The Oracle 1z1-084 certification exam has grown in popularity in today's modern Oracle era. Success in the 1z1-084 exam gives aspirants the chance to upskill and remain competitive in the challanging job market. Those who successfully crack the Oracle Database 19c Performance and Tuning Management (1z1-084) test prove to their employers that they are skilled enough to get well-paying jobs and promotions. PassExamDumps is aware that preparing with invalid Oracle 1z1-084 Exam Questions wastes money and time.

To pass the Oracle 1Z0-084 exam, candidates must have a deep understanding of Oracle Database 19c architecture and its associated components. They should be able to identify and resolve performance issues using tools such as SQL Tuning Advisor, Automatic Workload Repository, and Oracle Enterprise Manager. Candidates should also be proficient in monitoring database performance and tuning system parameters to optimize database performance. Successful completion of the Oracle 1Z0-084 exam demonstrates a candidate's ability to manage and tune Oracle Database 19c systems effectively, making them a valuable asset to any organization that relies on Oracle Database technology.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q29-Q34):

NEW QUESTION # 29
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 25
• B. Setting PARALLEL_DEGREE_POLICYAUTO
• C. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 50
• D. Setting DB_KEEP_CACHE_SIZE to at least 50M
• E. Setting PARALLEL_DEGREE_POLICYADAPTIVE
• F. Increasing DB_CACHESIZE to 1 G

Answer: A,F

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 # 30
The CURS0R_SHARING and OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES parameters are set to default. The top five wait events in an awr report are due to a large number of hard parses because of several almost identical SQL statements.
Which two actions could reduce the number of hard parses?

• A. Create the KEEP cache and cache tables accessed by the SQL statements.
• B. Set OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE.
• C. Set the CURSOR_SHARING parameter to FORCE.
• D. Increase the size of the library cache.
• E. Create the RECYCLE cache and cache tables accessed by the SQL statements.

Answer: C,D

Explanation:
To reduce the number of hard parses due to several almost identical SQL statements, you can take the following actions:
* C (Correct): Increasing the size of the library cache can help reduce hard parses by providing more memory to store more execution plans. This allows SQL statements to be shared more effectively.
* E (Correct): Setting the CURSOR_SHARING parameter to FORCE will cause Oracle to replace literals in SQL statements with bind variables, which can significantly reduce the number of hard parses by making it more likely that similar SQL statements will share the same execution plan.
The other options do not directly impact the number of hard parses:
* A (Incorrect): Creating the KEEP cache and caching tables accessed by the SQL statements can improve performance for those tables, but it does not directly reduce the number of hard parses.
* B (Incorrect): Creating the RECYCLE cache and caching tables accessed by the SQL statements can make it more likely that objects will be removed from the cache quickly, which does not help with hard parse issues.
* D (Incorrect): Setting OPTIMIZER_CAPTURE_SQL_PLAN_BASELINES to TRUE can help stabilize SQL execution plans but will not reduce the number of hard parses. This parameter is used to automatically capture SQL plan baselines for repeatable SQL statements, which can prevent performance regressions due to plan changes.
References:
* Oracle Database Performance Tuning Guide: Minimizing Hard Parses
* Oracle Database SQL Tuning Guide: CURSOR_SHARING

 

NEW QUESTION # 31
Which three statements are true about using the in Memory (IM) column store?

• A. It improves performance for queries joining several tables using bloom filter joins.
• B. It does not require all database data to fit in memory to improve query performance.
• C. It does not improve performance for queries using cached results of function evaluations on columns from the same table.
• D. It can improve OLTP workload performance by avoiding the use of indexes.
• E. It does not improve performance for queries using user-defined virtual column results.
• F. It does not improve performance for queries that use join groups on columns from different tables.

Answer: A,B,D

Explanation:
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.
References:
* Oracle Database In-Memory Guide:In-Memory Column Store in Oracle Database
* Oracle Database In-Memory Guide:In-Memory Joins
* Oracle Database In-Memory Guide:In-Memory Aggregation

 

NEW QUESTION # 32
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 session consumes all temporary tablespace storage, then the session would hang until the temporary space used by that session is cleared.
• C. 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.
• D. Lack of temporary tablespace space for sort operations can be prevented by using temporary tablespace groups.
• E. When a global temporary table instantiation is too large to fit in memory, space is allocated in a temporary tablespace.

Answer: D,E

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 # 33
You want to reduce the amount of db file scattered read that is generated in the database.You execute the SQL Tuning Advisor against the relevant workload. Which two can be part of the expected result?

• A. recommendations regarding partitioning the tables
• B. recommendations regarding rewriting the SQL statements
• C. recommendations regarding the creation of additional indexes
• D. recommendations regarding the creation of SQL Patches
• E. recommendations regarding the creation of materialized views

Answer: C,E

Explanation:
The SQL Tuning Advisor provides recommendations for improving SQL query performance. This may include suggestions for creating additional indexes to speed up data retrieval and materialized views to precompute and store query results.References:
* Oracle Database SQL Tuning Guide, 19c

 

NEW QUESTION # 34
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