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NEW QUESTION: 1
ネットワークには、contoso.comという名前のActive Directoryドメインが含まれています。 ドメインには、次の表に示すように構成されたサーバーが含まれています。

すべてのサーバーはWindows Server 2016を実行します。すべてのクライアントコンピューターはWindows 10を実行し、ドメインメンバーです。
すべてのラップトップは、BitLockerドライブ暗号化（BitLocker）を使用して保護されています。
アプリケーションサーバーのコンピュータアカウントを含むOU1という組織単位（OU）があります。
OU2という名前のOUには、マーケティング部門のコンピュータのコンピュータアカウントが含まれています。
GP1という名前のグループポリシーオブジェクト（GPO）はOU1にリンクされています。
GP2という名前のGPOはOU2にリンクされています。
すべてのコンピュータは、Server1から更新を受信します。
Update1という名前の更新ルールを作成します。
Update1のラップトップへの適用をサポートする環境を準備する必要があります。
あなたは何をするべきか？ 2つを選択します。
A. 作成するオブジェクトのタイプ：コンピュータグループ
B. 作成するオブジェクトのタイプ：セキュリティグループ
C. 使用するツール：Active Directory管理センター
D. 使用するツール：更新サービス
E. 使用するツール：Microsoft Intune
F. 使用するツール：Active Directoryユーザーとコンピュータ
G. 作成するオブジェクトのタイプ：配布グループ
H. 作成するオブジェクトのタイプ：OU
I. 作成するオブジェクトのタイプ：モバイルデバイスグループ
Answer: A,D
Explanation:
Explanation
https://technet.microsoft.com/en-us/library/cc708458(v=ws.10).aspx

NEW QUESTION: 2
Through the use of decision models, managers thoroughly analyze many alternatives and decide on the best alternative for the company. Often the actual results achieved from a particular decision are not what was expected when the decision was made. In addition, an alternative that was not selected would have actually been the best decision for the company.
The appropriate technique to analyze the alternatives by using expected inputs and altering them before a decision is made is:
A. Expected value analysis.
B. Sensitivity analysis.
C. Linear programming.
D. Program evaluation review technique PERT
Answer: B
Explanation:
Sensitivity modeling can be used to determine the outcome of a variety of decisions. A trial and- error method may be adopted, usually in a computer model, to calculate the sensitivity of the solution variability of outcomes) to changes in a variable.

NEW QUESTION: 3
Which mechanism should be used to write an IPS rule that focuses on the client or server side of a TCP communication?
A. The detection engine evaluates all sides of a TCP communication regardless of the rule options.
B. the "flow" rule option
C. specification of the source and destination ports in the rule header
D. the directional operator in the rule header
Answer: B
Explanation:
Topic 10, Device Management

NEW QUESTION: 4
グローバルな小売企業のデータプラットフォームを開発しています。会社は各地域の通常の勤務時間中に営業しています。分析データベースは、販売予測の構築に週に1回使用されます。
各地域は、独自のプライベート仮想ネットワークを維持しています。
販売予測の構築は非常にリソース集約型であり、20テラバイト（TB）以上のデータを生成します。
Microsoft Azure SQLデータベースをプロビジョニングする必要があります。
データベースのプロビジョニングは、パフォーマンスを最大化し、コストを最小化する必要があります
各地域の日次売上は、Azure SQL Databaseインスタンスに保存する必要があります
1日に1回、すべてのリージョンのデータを分析Azure SQL Databaseインスタンスにロードする必要があります
Azure SQLデータベースインスタンスをプロビジョニングする必要があります。
データベースインスタンスをどのようにプロビジョニングする必要がありますか？答えるには、適切なAzure SQL製品を正しいデータベースにドラッグします。各Azure SQL製品は、1回、複数回、またはまったく使用できません。コンテンツを表示するには、ペイン間で分割バーをドラッグするか、スクロールする必要がある場合があります。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: Azure SQL Database elastic pools
SQL Database elastic pools are a simple, cost-effective solution for managing and scaling multiple databases that have varying and unpredictable usage demands. The databases in an elastic pool are on a single Azure SQL Database server and share a set number of resources at a set price. Elastic pools in Azure SQL Database enable SaaS developers to optimize the price performance for a group of databases within a prescribed budget while delivering performance elasticity for each database.
Box 2: Azure SQL Database Hyperscale
A Hyperscale database is an Azure SQL database in the Hyperscale service tier that is backed by the Hyperscale scale-out storage technology. A Hyperscale database supports up to 100 TB of data and provides high throughput and performance, as well as rapid scaling to adapt to the workload requirements. Scaling is transparent to the application - connectivity, query processing, and so on, work like any other SQL database.