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NEW QUESTION: 1
レポートをカスタマイズするときのオプションは何ですか？ （3つの答え）
A. グループ化を追加します
B. フィールドを要約する
C. 更新時間をスケジュールします
D. ゲージコンポーネントを追加します
E. フィルターを追加する
Answer: A,B,E

NEW QUESTION: 2
次のうち、アーキテクチャ要件仕様の目的を最もよく表すものはどれですか。
A. アーキテクチャプロジェクトを完了するための範囲とアプローチを定義します
B. スポンサーから送信され、アーキテクチャ開発サイクルの開始をトリガーします
C. 現在のアーキテクチャ要件の評価が含まれています
D. アーキテクチャーに準拠するためにプロジェクトが実行する必要があることを概説する一連のステートメントを提供します
E. ワークパッケージのリストとターゲットアーキテクチャの実装スケジュールを提供します。
Answer: D
Explanation:
Reference http://pubs.opengroup.org/architecture/togaf91-doc/arch/chap36.html#tag_36_02_06

NEW QUESTION: 3
SAP ERP Central Component（SAP ECC）の本番環境と非本番環境をAzureに移行します。
SAPランドスケープ管理（LaMa）のライセンスが付与されています。
本番環境から非本番環境に更新する必要があります。
どの4つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: From the Azure portal, create a service principal
The Azure connector can use a Service Principal to authorize against Microsoft Azure. Follow these steps to create a Service Principal for SAP Landscape Management (LaMa).
Step 2: Add permissions to the service principal
The Service Principal does not have permissions to access your Azure resources by default. You need to give the Service Principal permissions to access them.
Step 3: From the Cloud Managers tab in LaMa, add an adapter
Create a new connector in SAP LaMa
Open the SAP LaMa website and navigate to Infrastructure. Go to tab Cloud Managers and click on Add.
Select the Microsoft Azure Cloud Adapter
Step 4: Install and configure LaMA on an SAP NetWeater instance
Provision a new adaptive SAP system
You can manually deploy a new virtual machine or use one of the Azure templates in the quickstart repository.
It contains templates for SAP NetWeaver ASCS, SAP NetWeaver application servers, and the database. You can also use these templates to provision new hosts as part of a system copy/clone etc.
Note: To support customers on their journey into a cloud model (hybrid or entirely public cloud), SAP and Microsoft partnered to create an adapter that integrates the SAP management capabilities of LaMa with the IaaS advantages of Microsoft Azure.
References:
https://docs.microsoft.com/en-us/azure/virtual-machines/workloads/sap/lama-installation
https://docs.microsoft.com/en-us/learn/modules/maintain-azure-sap-workloads/2-set-up-remote-management

NEW QUESTION: 4
Which of the following are the key drivers for Grid computing?
A. Lower Initial cost-There is a need to reduce the Initial investment at the cost of an increased operational cost.
B. Improved server utilization - Grid computing allows companies to lower costs through the efficient use of resources.
C. Better agility and flexibility - Businesses experience constant change and the underlying IT Infrastructure should be agile enough to support that kind of change.
D. OpEx model - Enterprises require pay-as-you-go services to reduce the dependency on capital expenditure and take advantage of the benefits of operational expenditure.
Answer: A,B,C
Explanation:
Explanation/Reference:
Using a grid computing architecture, organizations can quickly and easily create a large-scale computing infrastructure from inexpensive, off-the-shelf components (D). Other benefits of grid computing include
* Quick response to volatile business needs (B)
* Real-time responsiveness to dynamic workloads
* Predictable IT service levels
* Reduced costs as a result of improved efficiency and smarter capacity planning (A) Note: One way to think about grid computing is as the virtualization and pooling of IT resources- compute power, storage, network capacity, and so on-into a single set of shared services that can be provisioned or distributed, and then redistributed as needed.
As workloads fluctuate during the course of a month, week, or even through a single day, the grid computing infrastructure analyzes the demand for resources in real time and adjusts the supply accordingly.
Grid computing operates on three basic technology principles: Standardize hardware and software components to reduce incompatibility and simplify configuration and deployment; virtualize IT resources by pooling hardware and software into shared resources; and automate systems management, including resource provisioning and monitoring.
Grid computing operates on these technology principles:
* Standardization.
* Virtualization.
* Automation.
Reference: Oracle Grid Computing, White Paper