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NEW QUESTION: 1
Sie haben eine Anwendung, die eine Datenbank abfragt. Benutzer berichten, dass die Anwendung langsamer als erwartet ist.
Sie stellen fest, dass bei mehreren Serverprozess-IDs (SPIDs) PAGELATCH_UP und PAGELATCH_EX warten. Die Ressourcenbeschreibungen der SPIDs enthalten 2: 1: 1.
Sie müssen das Problem beheben.
Was sollte man tun?
A. Fügen Sie Tempdb Datendateien hinzu.
B. Reduzieren Sie den Füllfaktor aller Clustered-Indizes.
C. Fügen Sie Dateien zur Dateigruppe der Anwendungsdatenbank hinzu.
D. Ordnen Sie dem Server zusätzliche Prozessorkerne zu.
Answer: A
Explanation:
Explanation
PAGELATCH contention in tempdb is typically on allocation bitmaps and occurs with workloads with many concurrent connections creating and dropping small temporary tables (which are stored in tempdb).
Assuming that the temporary tables are needed for performance, the trick is to have multiple data files for tempdb so that the allocations are done round-robin among the files, the contention is split over multiple PFS pages, and so the overall contention goes down.
References: https://sqlperformance.com/2015/10/sql-performance/knee-jerk-wait-statistics-pagelatch

NEW QUESTION: 2
HOTSPOT
You are developing a SQL Server Integration Services (SSIS) package. An Execute SQL task in the package checks product stock levels and sets a package variable named
InStock to TRUE or FALSE depending on the stock level found.
After the successful execution of the Execute SQL task, one of two data flow tasks must run, depending on the value of the InStock variable.
You need to set the precedence constraints.
Which value for the evaluation operation should you use? (To answer, select the appropriate option for the evaluation operation in the answer area.)


Answer:
Explanation:

NEW QUESTION: 3
企業が3層アプリケーションをAWSに移行しています。アプリケーションにはMySQLデータベースが必要です。これまで、アプリケーションユーザーは、新しいエントリを作成するときにアプリケーションのパフォーマンスが低いと報告していました。これらのパフォーマンスの問題は、ユーザーが勤務時間中にアプリケーションからさまざまなリアルタイムレポートを生成したことが原因でした。
アプリケーションをAWSに移動すると、アプリケーションのパフォーマンスが向上するのはどのソリューションですか？
A. プロビジョニングされた容量でAmazon DynamoDBテーブルにデータをインポートします。レポートにDynamoDBを使用するようにアプリケーションをリファクタリングします。
B. Amazon Aurora MySQLマルチAZ DBクラスターを作成します。クラスターのバックアップインスタンスをレポートのエンドポイントとして使用するようにアプリケーションを構成します。
C. 複数のリードレプリカを持つAmazon Aurora MySQLマルチAZ DBクラスターを作成します。レポートのアプリケーションリーダーエンドポイントを構成します。
D. コンピューティング最適化Amazon EC2インスタンスにデータベースを作成します。コンピューティングリソースがオンプレミスデータベースを超えていることを確認します。
Answer: C
Explanation:
The MySQL-compatible edition of Aurora delivers up to 5X the throughput of standard MySQL running on the same hardware, and enables existing MySQL applications and tools to run without requiring modification.
https://aws.amazon.com/rds/aurora/mysql-features/