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  • Exam Name:Oracle Financials Cloud: Payables 2024 Implementation Professional Exam Exam
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NEW QUESTION: 1
Welche Funktion oder welcher Prozess bietet Mitarbeitern die Möglichkeit, Ereignisse in einer Betriebsbrücke zu überwachen?
A. Erfüllung anfordern
B. Technisches Management
C. IT-Betriebsmanagement
D. Anwendungsverwaltung
Answer: C

NEW QUESTION: 2
注:この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、述べられた目標を達成する可能性のある独自の解決策が含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
複数のAzureリージョンにAzureWebアプリの複数のインスタンスをデプロイすることを計画しています。
アプリのアクセスソリューションを設計する必要があります。ソリューションは、次のレプリケーション要件を満たす必要があります。
サポートレート制限。
すべてのインスタンス間でリクエストのバランスを取ります。
地域的な停止が発生した場合に、ユーザーがアプリにアクセスできることを確認します。
解決策:Azure Front Doorを使用して、アプリへのアクセスを提供します。
これは目標を達成していますか?
A. いいえ
B. はい
Answer: B
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/frontdoor/front-door-overview
https://docs.microsoft.com/en-us/azure/frontdoor/front-door-waf
https://www.cloudmatter.io/post/azure-front-door-and-web-application-firewall-cheatsheet

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution. Determine whether the solution meets the stated goals.
You deploy a tabular data model to an instance of Microsoft SQL Server Analysis Services (SSAS). The model uses an in-memory cache to store and query data. The data set is already the same size as the available RAM on the server. Data volumes are likely to continue to increase rapidly.
Your data model contains multiple calculated tables.
The data model must begin processing each day at 2:00 and processing should be complete by 4:00 the same day. You observe that the data processing operation often does not complete before 7:00. This is adversely affecting team members.
You need to improve the performance.
Solution: Change the storage mode for the data model to DirectQuery.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
By default, tabular models use an in-memory cache to store and query data. When tabular models query data residing in-memory, even complex queries can be incredibly fast.
However, there are some limitations to using cached data. Namely, large data sets can exceed available memory, and data freshness requirements can be difficult if not impossible to achieve on a regular processing schedule.
DirectQuery overcomes these limitations while also leveraging RDBMS features making query execution more efficient.
With DirectQuery: +
Data is up-to-date, and there is no extra management overhead of having to maintain a separate copy of the data (in the in-memory cache). Changes to the underlying source data can be immediately reflected in queries against the data model.
Datasets can be larger than the memory capacity of an Analysis Services server.
Etc.
References:https://docs.microsoft.com/en-us/sql/analysis-services/tabular- models/directquery-mode-ssas-tabular

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