1Z0-084赤本合格率 & 1Z0-084認定資格試験問題集

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Oracle Database 19c Performance and Tuning Management 認定 1Z0-084 試験問題 (Q25-Q30):

質問 # 25
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 buffer cache advisory view v$db_cache_advice provides advice on cache hit ratios appropriate for the instance workload.
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. The performance of workloads that primarily generate full table scans and fast full index scans are always affected by the cache hit ratio.
E. Both the RECYCLE and KEEP buffer caches should always have a very high cache hit ratio.

正解：A、C

解説：
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

質問 # 26
Database performance degraded between 23:15 and 23:30 for the last three nights. The awr snapshot interval is one hour. The AODM report contains nothing about this performance problem.
With which tool can you further analyze this problem?

A. SQL Performance Analyzer
B. SQL Tuning Advisor
C. Active Session History report
D. AWR Compare Periods report

正解：C

解説：
The Active Session History (ASH) report is a tool that provides detailed information about active sessions for the time period specified. Since the AWR snapshot interval is one hour and does not capture the granularity needed for this issue, ASH reports aremore suitable as they contain more granular data for sessions that were active during the period of interest.
References:
* Oracle Database Performance Tuning Guide, 19c

質問 # 27
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 sorted in order of index IX_SALES_TIME_ID.
B. Re-create index IX_SALES_TIME_ID using ADVANCED COMPRESSION.
C. Partition index IX_SALES_TIME_ID using hash partitioning.
D. Re-create the SALES table using the columns in IX_SALES_TIME_ID as the hash partitioning key.

正解：B

解説：
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

質問 # 28
Which Optimizer component helps decide whether to use a nested loop join or a hash join in an adaptive execution plan?

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

正解：E

解説：
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

質問 # 29
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. Re-create the SALES table.
B. Partition the SALES table.
C. Compress the SALES table.
D. Increase PCTFREE for the SALES table.
E. Coalesce all sales table indexes.

正解：B、C

解説：
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.

質問 # 30
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最短で確実に合格！1Z0-084 試験問題

常に模倣されますが、決して超えません、相応しい1Z0-084試験ガイドを取得し、試験の準備はあなたの仕事と生活に影響をもたらしません、次に、1Z0-084準備資料を使用して、1Z0-084証明書と高給を取得できます。

1Z0-084学習教材は本当にあなたの友達になり、あなたが最も必要とする助けを与えてくれます。