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Oracle 1Z0-084 certification is an excellent way for professionals to enhance their skills and knowledge in Oracle Database 19c performance and tuning management. Oracle Database 19c Performance and Tuning Management certification is globally recognized and is considered a valuable asset in the IT industry. Professionals who hold the 1Z0-084 certification can demonstrate their expertise and credibility in optimizing database performance, ensuring system availability, and reducing system downtime. Overall, the Oracle 1Z0-084 certification is an excellent investment for professionals who want to advance their career in database management.

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Oracle is a globally recognized corporation that is responsible for several innovative IT solutions. Its flagship product, the Oracle database, has revolutionized the way organizations store, manage and retrieve data since its inception. With the latest release of Oracle Database 19c, it is now possible to optimize, manage and enhance the performance of databases with greater ease and effectiveness. One of the emerging areas of knowledge and expertise related to Oracle databases is performance and tuning management, which is now covered by the 1Z0-084 Oracle exam.

Oracle Database 19c Performance and Tuning Management Sample Questions (Q18-Q23):

NEW QUESTION # 18
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. A 60% cache hit ratio can be observed for database instances which have very good I/O performance.
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. The buffer cache advisory view v$db_cache_advice provides advice on cache hit ratios appropriate for the instance workload.

Answer: C,E

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 # 19
Which Optimizer component helps decide whether to use a nested loop join or a hash join in an adaptive execution plan?

A. Automatic Reoptimization
B. Statistics Feedback
C. Dynamic Statistics
D. SQL Plan Directives
E. Statistics Collector

Answer: E

Explanation:
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.
References:
* Oracle Database SQL Tuning Guide, 19c

NEW QUESTION # 20
You must configure and enable Database Smart Flash Cache for a database.
You configure these flash devices:

Examine these parameter settings:

What must be configured so that the database uses these devices for the Database Smart Flash Cache?

A. Set DB_FLASH_CACHE_SIZE parameter to 192G.
B. Set DB_FLASH_CACHE_SIZE to 256G and change device /dev/sdk to 128G.
C. Set DB_FLASH_CACHE_SIZE to 192G and MEMORY_TARGET to 256G.
D. Disable Automatic Memory Management and set SGA_TARGET to 256G.
E. Set DB_FLASH_CACHE_SIZE parameter to 128G, 64G.

Answer: E

Explanation:
To configure and enable Database Smart Flash Cache, you must set the DB_FLASH_CACHE_SIZE parameter to reflect the combined size of the flash devices you intend to use for the cache. In this scenario, two flash devices are configured: /dev/sdj with 128G and /dev/sdk with 64G.
* Determine the combined size of the flash devices intended for the Database Smart Flash Cache. In this case, it's 128G + 64G = 192G.
* However, Oracle documentation suggests setting DB_FLASH_CACHE_SIZE to the exact sizes of the individual devices, separated by a comma when multiple devices are used.
* Modify the parameter in the database initialization file (init.ora or spfile.ora) or using an ALTER SYSTEM command. Here's the command for altering the system setting:
ALTER SYSTEM SET DB_FLASH_CACHE_SIZE='128G,64G' SCOPE=SPFILE;
* Since this is a static parameter, a database restart is required for the changes to take effect.
* Upon database startup, it will allocate the Database Smart Flash Cache using the provided sizes for the specified devices.
It is important to note that MEMORY_TARGET and MEMORY_MAX_TARGET parameters should be configured independently of DB_FLASH_CACHE_SIZE. They control the Oracle memory management for the SGA and PGA, and do not directly correlate with the flash cache configuration.
References
* Oracle Database 19c Documentation on Database Smart Flash Cache
* Oracle Support Articles and Community Discussions on DB_FLASH_CACHE_SIZE Configuration

NEW QUESTION # 21
Which three statements are true about using the in Memory (IM) column store?

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

Answer: B,C,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 # 22
This error occurred more than four hours ago in the database:
ORA-04036 PGA memory used by the instance exceeds PGA_AGGREGATE_LIMIT
You want to know which process and query were at fault.
Which two views should you use for this purpose?

A. DBA_HIST_PGASTAT
B. DBA_HIST_ACTIVE_SESS_HISTORY
C. DBA_HIST_SQLSTAT
D. DBA_HIST_PROCESS_MEM_SUMMARY
E. DBA_HIST_SQLTEXT

Answer: B,D

Explanation:
To investigate the cause of the ORA-04036 error, which indicates that PGA memory usage exceeds the PGA_AGGREGATE_LIMIT, the appropriate views to consult are DBA_HIST_ACTIVE_SESS_HISTORY and DBA_HIST_PROCESS_MEM_SUMMARY.
* DBA_HIST_ACTIVE_SESS_HISTORY: This view provides historical information about active sessions in the database. It includes details about the SQL executed, the execution context, and the resources consumed by each session. By examining this view, you can identify the specific sessions and SQL queries that were active and potentially consuming excessive PGA memory around the time the ORA-04036 error occurred.
* DBA_HIST_PROCESS_MEM_SUMMARY: This view contains historical summaries of memory usage by processes. It can help in identifying the processes that were consuming a significant amount of PGA memory, leading to the ORA-04036 error. This view provides aggregated memory usage information over time, making it easier to pinpoint the processes responsible for high PGA memory consumption.
Together, these views offer a comprehensive overview of the memory usage patterns and specific queries or processes that might have contributed to exceeding the PGA_AGGREGATE_LIMIT, resulting in the ORA-
04036 error.
References:
* Oracle Database Reference: DBA_HIST_ACTIVE_SESS_HISTORY
* Oracle Database Reference: DBA_HIST_PROCESS_MEM_SUMMARY
* Oracle Database Performance Tuning Guide: Managing Memory

NEW QUESTION # 23
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