FREE PDF QUIZ 2025 ORACLE 1Z1-084: ORACLE DATABASE 19C PERFORMANCE AND TUNING MANAGEMENT PASS-SURE PRACTICE QUESTIONS

Free PDF Quiz 2025 Oracle 1z1-084: Oracle Database 19c Performance and Tuning Management Pass-Sure Practice Questions

Free PDF Quiz 2025 Oracle 1z1-084: Oracle Database 19c Performance and Tuning Management Pass-Sure Practice Questions

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The Oracle 1z1-084 exam is a rigorous assessment of the candidate's knowledge of performance and tuning management in Oracle databases. It encompasses the latest trends, techniques, and methodologies for optimizing the performance of databases. 1z1-084 Exam will test the candidate's ability to identify and troubleshoot performance issues, as well as their knowledge of performance monitoring and data management.

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Oracle Database 19c Performance and Tuning Management Sample Questions (Q56-Q61):

NEW QUESTION # 56
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 CURSOR_INVALIDATION = DEFERRED;
  • B. ALTER SYSTEM SET SESSION CACHED CURSORS = 500;
  • C. ALTER SYSTEM SET CURSOR_SPACE_FOR_TIME - TRUE;
  • D. ALTER SYSTEM SET CURSOR_SHARING = FORCE;

Answer: A

Explanation:
Thecursor: pin S wait on Xwait 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 thecursor: pin S wait on Xwait events.
The other options are incorrect in addressing this issue:
* A (Incorrect):SettingCURSOR_SHARINGtoFORCEmakes the optimizer replace literal values with bind variables. It doesn't address the contention for cursor pins directly.
* B (Incorrect):CURSOR_SPACE_FOR_TIME=TRUEaims 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 Xwaits.
* D (Incorrect):IncreasingSESSION_CACHED_CURSORScaches more session cursors but doesn't necessarily prevent the contention indicated by thecursor: pin S wait on Xwait events.
References:
* Oracle Database Reference:CURSOR_INVALIDATION
* Oracle Database Performance Tuning Guide:Reducing Cursor Invalidation


NEW QUESTION # 57
Which three statements are true about using the in Memory (IM) column store?

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

Answer: B,C,E

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 # 58
Which two statements are true about the use and monitoring of Buffer Cache Hit ratios and their value in tuning Database I/O performance?

  • A. The performance of workloads that primarily generate full table scans and fast full index scans are always affected by the cache hit ratio.
  • B. The buffer cache advisory view v$db_cache_advice provides advice on cache hit ratios appropriate for the instance workload.
  • C. A 99% cache hit ratio can be observed for database instances which have very poor I/O performance.
  • D. Both the RECYCLE and KEEP buffer caches should always have a very high cache hit ratio.
  • E. A 60% cache hit ratio can be observed for database instances which have very good I/O performance.

Answer: B,C

Explanation:
A high buffer cache hit ratio typically indicates that the database is effectively using the buffer cache and does not often need to read data from disk. However, this metric alone is not a reliable indicator of the I/O performance of the database for several reasons:
* Full table scans and fast full index scans (A) can bypass the buffer cache by design if the blocks are not deemed reusable shortly, which can impact the cache hit ratio.
* A high cache hit ratio (B) can be misleading if the database performance is poor due to other factors, such as inefficient queries or contention issues.
* The buffer cache advisory (C) is a more valuable tool for understanding the potential impact of different cache sizes on the database's I/O performance. It simulates scenarios with different cache sizes and provides a more targeted recommendation.
* The RECYCLE and KEEP buffer caches (D) are specialized caches designed for certain scenarios.
While high hit ratios can be beneficial, they are not universally required; some workloads might not be significantly impacted by lower hit ratios in these caches.
* A lower cache hit ratio (E) does not necessarily mean poor I/O performance. In some cases, a system with a well-designed storage subsystem and efficient queries might perform well even with a lower cache hit ratio.
References
* Oracle Database 19c Performance Tuning Guide - Buffer Cache Hit Ratio
* Oracle Database 19c Performance Tuning Guide - v$db_cache_advice


NEW QUESTION # 59
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 the creation of additional indexes
  • C. recommendations regarding the creation of materialized views
  • D. recommendations regarding rewriting the SQL statements
  • E. recommendations regarding the creation of SQL Patches

Answer: B,C

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 # 60
Accessing the SALES tables causes excessive db file sequential read wait events.
Examine this AWR except:

Now, examine these attributes displayed by querying dba_tables:

Finally, examine these parameter settings:

Which two must both be used to reduce these excessive waits?

  • A. Compress the SALES table.
  • B. Coalesce all sales table indexes.
  • C. Partition the SALES table.
  • D. Increase PCTFREE for the SALES table.
  • E. Re-create the SALES table.

Answer: A,C

Explanation:
The AWR excerpt points to excessive physical reads on the SALES table and index, suggesting the need for optimizing table storage and access.
Partitioning the SALES table (A) can reduce 'db file sequential read' waits by breaking down the large SALES table into smaller, more manageable pieces. This can localize the data and reduce the I/O necessary for query operations.
Compressing the SALES table (D) can also help reduce I/O by minimizing the amount of data that needs to be read from disk. This can also improve cache utilization and reduce the 'db file sequential read' waits.
References:
* Oracle Database VLDB and Partitioning Guide, 19c
* Oracle Database Administrator's Guide, 19c
These changes are recommended based on Oracle's best practices for managing large tables and reducing I/O waits, ensuring better performance and efficiency.


NEW QUESTION # 61
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