Oracle 1Z0-084入門知識 & 1Z0-084前提条件

GoShikenは、非常に信頼性の高い1Z0-084実際の質問の回答を提供しています。主な利点は次のとおりです。1.直接情報を取得します。 2. 1年間の無料アップデートを提供します。 3. 1年間のカスタマーサービスを提供します。 4.パス保証; 5.返金保証など。 1Z0-084の実際の質問の回答を購入すると、安心してショッピングをお楽しみいただけます。試験問題で試験に失敗した場合は、スキャンした1Z0-084失敗スコアをメールアドレスに送信するだけで、他の疑いもなくすぐに全額返金されます。

Oracle 1Z0-084認定を取得するには、候補者はOracle Database 19cの強い基盤的理解を持ち、パフォーマンスチューニングと管理技術に熟練している必要があります。試験は70の多肢選択問題から構成され、105分以内に完了する必要があります。試験の合格点は63％で、候補者は認定を受ける前にOracle認定プログラムのポリシーに同意する必要があります。

Oracle 1Z0-084試験では、パフォーマンスチューニング方法、パフォーマンスチューニングツール、SQLチューニング、メモリチューニングなど、さまざまなトピックをカバーしています。さらに、この試験では、リソースの管理やパフォーマンスの問題の診断と解決などのトピックについて説明しています。この試験は複数の言語で利用でき、120分で完了する必要がある60の複数選択の質問で構成されています。候補者は、試験に合格し、認定を受け取るために少なくとも63％を獲得する必要があります。認定は18か月間有効であり、その後、候補者は認定を維持するために試験を再試行する必要があります。

Oracle 1Z0-084試験は、Oracle Database 19Cのパフォーマンスの調整と管理に関する専門家のスキルと知識を描写する認定です。試験に合格した立候補は、Oracleデータベースの管理と調整における習熟度を検証して、その効率とパフォーマンスを最大化します。この認定は、非常に競争の激しい雇用市場における候補者の信頼性と雇用の見通しも強化します。この認定試験は、世界中の企業におけるデータベース管理、開発、および管理の役割において、キャリアをより高いレベルの責任に進めようとする専門家に最適です。

>> Oracle 1Z0-084入門知識 <<

1Z0-084前提条件、1Z0-084試験勉強過去問

Oracleの1Z0-084資格認定証明書を持つ人は会社のリーダーからご格別のお引き立てを賜ったり、仕事の昇進をたやすくなったりしています。これなので、今から我々社GoShikenの1Z0-084試験に合格するのに努力していきます。弊社のOracleの1Z0-084真題によって、資格認定証明書を受け取れて、仕事の昇進を実現できます。

Oracle Database 19c Performance and Tuning Management 認定 1Z0-084 試験問題 (Q49-Q54):

質問 # 49
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 50
B. Setting PARALLEL_DEGREE_POLICYAUTO
C. Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to at least 25
D. Setting DB_KEEP_CACHE_SIZE to at least 50M
E. Increasing DB_CACHESIZE to 1 G
F. Setting PARALLEL_DEGREE_POLICYADAPTIVE

正解：C、E

解説：
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_TARGET is 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): Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to 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): Increasing DB_CACHE_SIZE to 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: Increasing DB_BIG_TABLE_CACHE_PERCENT_TARGET to 50 without adjusting the overall size of the cache might still not be sufficient if the DB_CACHE_SIZE is not large enough to hold the big tables.
* B: Setting DB_KEEP_CACHE_SIZE to at least 50M only specifies a separate buffer pool for objects with the KEEP cache attribute and does not affect Big Table caching.
* E: and F: Changing the PARALLEL_DEGREE_POLICY to ADAPTIVE or AUTO influences 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

質問 # 50
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. Activate the adaptive plans.
B. Force the subquery to use dynamic sampling.
C. Generate frequency histograms on the CITY__ID column.
D. Use a SQL Profile to enforce the appropriate plan.
E. Create an index on the CITY IP column.

正解：C、E

解説：
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

質問 # 51
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 rewriting the SQL statements
B. recommendations regarding the creation of additional indexes
C. recommendations regarding partitioning the tables
D. recommendations regarding the creation of SQL Patches
E. recommendations regarding the creation of materialized views

正解：B、E

解説：
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

質問 # 52
A database supporting a mixed workload is hosted on a server with 64 CPUs.
A large number of free buffer waits and buffer busy waits occur affecting performance.
The buffer cache size was then increased but after a few hours, the same wait events occur more often than before the change.
Examine these parameter settings:

Which two actions can help reduce the number of these waits7

A. Increasing the size of MEMORYTARGET
B. increasing the value of DBWRITERPROCESSES to 64,
C. reducing the values of DB_FILE_MULTILOCK_READ_COUNT to 64
D. increasing the value of DB_FILE_MULTIBLOCK_READ_COUNT to 128
E. setting dbwr_io_slaves to 64

正解：B、E

解説：
Given a server with 64 CPUs, if the buffer cache size increase did not alleviate free buffer waits and buffer busy waits, one can look into optimizing I/O and the efficiency of the DB writer processes.
C: Setting theDBWR_IO_SLAVESparameter to a non-zero value, such as the number of CPUs, would initiate I/O slave processes to assist the DB writer process. This can help reduce I/O contention when writing from the buffer cache to disk, particularly for systems without asynchronous I/O capabilities.
D: Increasing the value ofDBWRITERPROCESSESenables multiple DB writer processes to be active simultaneously. In a system with many CPUs, such as 64, increasing this value can improve the write throughput to disk and potentially reduce buffer busy waits.
References:
* Oracle Database Reference, 19c
* Oracle Database Performance Tuning Guide, 19c

質問 # 53
Which three statements are true about tuning dimensions and details of v$sys_time_model and DB time?

A. Systems in which CPU time is dominant need more tuning that those in which WAIT TIME is dominant.
B. Parse Time Elapsed accounts for successful soft and hard parse operations only.
C. The proportion of WAIT TIME to CPU TIME always increases with increased system load.
D. DB Time accounts for all time used by background processes and user sessions.
E. When WAIT TIME is high, instance tuning may improve performance.
F. Statspack cannot account for high CPU time when CPU TIME is a Top 10 event in DB time. When CPU time is high, SQL tuning may improve performance.

正解：D、E、F

解説：
A: Statspack is a performance diagnostic tool that can help identify high CPU usage issues. High CPU time may indicate that SQL statements need to be tuned for better performance.
D: High wait times can often be reduced by instance tuning, such as adjusting database parameters or improving I/O performance.
F: DB Time is a cumulative time metric that includes the time spent by both user sessions and background processes executing database calls.References:
* Oracle Database Performance Tuning Guide, 19c
* Oracle Database Concepts, 19c

質問 # 54
......

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Oracle 1Z0-084入門知識 & 1Z0-084前提条件

1Z0-084前提条件、1Z0-084試験勉強過去問

Oracle Database 19c Performance and Tuning Management 認定 1Z0-084 試験問題 (Q49-Q54):

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