Oracle 1z1-084 Detailed Study Dumps | 1z1-084 Practice Exams Free
Oracle 1z1-084 Detailed Study Dumps | 1z1-084 Practice Exams Free
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The Oracle 1z1-084 exam is designed to test individuals on their proficiency in performance tuning and management, including monitoring, measurement, analysis, and tuning of Oracle Database 19c. 1z1-084 exam also assesses the candidate’s ability to work with Automatic Workload Repository (AWR), Automatic Database Diagnostic Monitor (ADDM), Automatic SQL Tuning (AST), and many other tools and techniques that are needed to optimize database performance.
Oracle 1Z0-084 exam is a certification program designed for professionals who have expertise in managing performance and tuning Oracle Database 19c. 1z1-084 exam is ideal for database administrators, developers, and other IT professionals who are responsible for managing large-scale databases. The 1Z0-084 exam covers topics such as performance tuning, SQL tuning, resource management, and diagnosing performance problems. Oracle Database 19c Performance and Tuning Management certification exam is designed to test the candidate's proficiency in analyzing and optimizing database performance, troubleshooting common issues, and implementing best practices.
To prepare for the Oracle 1Z0-084 exam, you should have a solid foundation in Oracle Database architecture, concepts, and administration. You should also have experience working with Oracle Database 19c, and have a deep understanding of performance and tuning management. A good way to prepare for 1z1-084 Exam is by reviewing the Oracle 1Z0-084 study guide, attending Oracle training courses, reading Oracle documentation, and working on real-world scenarios.
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The Oracle 1z1-084 certification is a valuable credential that plays a significant role in advancing the Oracle professional's career in the tech industry. With the Oracle Database 19c Performance and Tuning Management (1z1-084) certification exam you can demonstrate your skills and knowledge level and get solid proof of your expertise. You can use this proof to advance your career. The Oracle 1z1-084 Certification Exam enables you to increase job opportunities, promotes professional development, and higher salary potential, and helps you to gain a competitive edge in your job search.
Oracle Database 19c Performance and Tuning Management Sample Questions (Q14-Q19):
NEW QUESTION # 14
Which two statements are true about space usage in temporary tablespaces?
- A. When a session consumes all temporary tablespace storage, then the session would hang until the temporary space used by that session is cleared.
- B. Lack of temporary tablespace space for sort operations can be prevented by using temporary tablespace groups.
- C. Temporary tablespaces setting Includes quotas to limit temporary space used by a session for that Temporary tablespace.
- D. When a global temporary table instantiation is too large to fit in memory, space is allocated in a temporary tablespace.
- 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 # 15
An Oracle 19c database uses default values for all optimizer initialization parameters.
After a table undergoes partition maintenance, a large number of wait events occur for:
cursor: pin S wait on X
Which command reduces the number of these wait events?
- A. ALTER SYSTEM SET SESSION CACHED CURSORS = 500;
- B. ALTER SYSTEM SET CURSOR_SPACE_FOR_TIME - TRUE;
- C. ALTER SYSTEM SET CURSOR_SHARING = FORCE;
- D. ALTER SYSTEM SET CURSOR_INVALIDATION = DEFERRED;
Answer: D
Explanation:
The cursor: pin S wait on X wait event suggests contention for a cursor pin, which is associated with mutexes (a type of locking mechanism) that protect the library cache to prevent concurrent modifications.
This issue can often be alleviated by deferring the invalidation of cursors until the end of the call to reduce contention. The correct command to use would be:
* C (Correct): ALTER SYSTEM SET CURSOR_INVALIDATION=DEFERRED; This setting defers the invalidation of dependent cursors until the end of the PL/SQL call, which can reduce the cursor: pin S wait on X wait events.
The other options are incorrect in addressing this issue:
* A (Incorrect): Setting CURSOR_SHARING to FORCE makes the optimizer replace literal values with bind variables. It doesn't address the contention for cursor pins directly.
* B (Incorrect): CURSOR_SPACE_FOR_TIME=TRUE aims to reduce the parsing effort by keeping cursors for prepared statements open. It may increase memory usage but does not directly resolve cursor: pin S wait on X waits.
* D (Incorrect): Increasing SESSION_CACHED_CURSORS caches more session cursors but doesn't necessarily prevent the contention indicated by the cursor: pin S wait on X wait events.
References:
* Oracle Database Reference: CURSOR_INVALIDATION
* Oracle Database Performance Tuning Guide: Reducing Cursor Invalidation
NEW QUESTION # 16
SGA_TARGET and PGA_AGGREGATE_TARGET are configured to nonzero values.
MEMORY_target is then set to a nonzero value but memory_MAX_TARGET is not set.
Which two statements are true?
- A.
- B.
- C.
- D.
- E.
- F.
- G.
Answer: B,E
Explanation:
When MEMORY_TARGET is set to a nonzero value, Oracle automatically manages the memory allocation between the System Global Area (SGA) and the Program Global Area (PGA). If MEMORY_MAX_TARGET is not explicitly set, Oracle will behave in the following manner:
* MEMORY_MAX_TARGET will default to the value of MEMORY_TARGET, assuming the platform allows for the value of MEMORY_TARGET to be increased dynamically. This means that MEMORY_TARGET represents both the initial allocation and the maximum limit for the dynamically managed memory unless MEMORY_MAX_TARGET is specified differently.
* If MEMORY_TARGET is set to a value that is less than the sum of the current values of SGA_TARGET and PGA_AGGREGATE_TARGET, Oracle will use the higher sum as the default value for MEMORY_MAX_TARGET to ensure that there is adequate memory for both areas. The database instance will not start if MEMORY_TARGET is not sufficient to accommodate the combined SGA and PGA requirements.
References
* Oracle Database Administrator's Guide 19c: Automatic Memory Management
* Oracle Database Performance Tuning Guide 19c: Using Automatic Memory Management
NEW QUESTION # 17
You manage a 19c database with default optimizer settings.
This statement is used extensively as subquery in the application queries:
SELECT city_id FROM sh2.sales WHERE city_id=:Bl
You notice the performance of these queries is often poor and, therefore, execute:
SELECT city_id,COUNT(*) FROM sh2.sales GROUP BY city_id;
Examine the results:
There is no index on the CITY_ID column.
Which two options improve the performance?
- A. Create an index on the CITY IP column.
- B. Activate the adaptive plans.
- C. Force the subquery to use dynamic sampling.
- D. Use a SQL Profile to enforce the appropriate plan.
- E. Generate frequency histograms on the CITY__ID column.
Answer: A,E
Explanation:
In this scenario, creating an index and generating frequency histograms are two methods that can potentially improve performance:
* A (Correct):Generating frequency histograms on theCITY_IDcolumn can help the optimizer make better decisions regarding the execution plan, especially if the data distribution is skewed. Histograms provide the optimizer with more detailed information about the data distribution in a column, which is particularly useful for columns with non-uniform distributions.
* B (Correct):Creating an index on theCITY_IDcolumn would speed up queries that filter on this column, especially if it's used frequently in the WHERE clause as a filter. An index would allow for an index range scan instead of a full table scan, reducing the I/O and time needed to execute such queries.
* C (Incorrect):While SQL profiles can be used to improve the performance of specific SQL statements, they are usually not the first choice for such a problem, and creating a profile does not replace the need for proper indexing or statistics.
* D (Incorrect):Forcing the subquery to use dynamic sampling might not provide a consistent performance benefit, especially if the table statistics are not representative or are outdated. However, dynamic sampling is not as effective as having accurate statistics and a well-chosen index.
* E (Incorrect):Adaptive plans can adjust the execution strategy based on the conditions at runtime.
While they can be useful in certain scenarios, in this case, creating an index and ensuring accurate statistics would likely provide a more significant performance improvement.
References:
* Oracle Database SQL Tuning Guide:Managing Optimizer Statistics
* Oracle Database SQL Tuning Guide:Using Indexes and Clusters
NEW QUESTION # 18
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. Setting PARALLEL_DEGREE_POLICYADAPTIVE
- B. Setting DB_KEEP_CACHE_SIZE to at least 50M
- C. Increasing DB_CACHESIZE to 1 G
- D. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 50
- E. Setting PARALLEL_DEGREE_POLICYAUTO
- F. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25
Answer: C,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 # 19
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