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NEW QUESTION: 1
Scenario










A. Option A
B. Option C
C. Option D
D. Option B
Answer: D
Explanation:
Explanation
Looking at the configuration of R1, we see that R1 is configured with a hello interval of 25 on interface Ethernet 0/1 while R2 is left with the default of 10 (not configured).

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、上記の目標を達成できる独自の解決策が含まれています。いくつかの質問セットには1つ以上の正しい解決策があるかもしれないが、他の質問セットには正しい解決策がないかもしれない。
このセクションの質問に答えると、それ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。
ASP.NETコアを使用するRESTful APIを開発しています。 Azure App ServicesでAPIをホストする予定です。
アプリケーションサービスで開発環境をプロビジョニングします。
開発者は開発環境にAPIをデプロイできる必要があります。 Azureアカウントの資格情報を開発者と共有しないでください。
開発者がAPIを開発環境に展開できるようにする必要があります。
解決策：App Serviceが提供されているAzureサブスクリプションと同じAzure Active Directory（Azure AD）に開発者を追加します。 XCopyを使用してApp Serviceにデプロイします。
解決策は目標を達成していますか？
A. はい
B. いいえ
Answer: B
Explanation:
Explanation
You should use a Publishing Profile with Microsoft Visual Studio Publishing.
References: https://msdn.microsoft.com/en-us/library/dd465337(v=vs.110).aspx

NEW QUESTION: 3
You are working on a virtual guest design for the deployment of a critical business application. The software vendor has provided you with very few application requirements for projected workloads. Which of the following scaling approaches does this describe?
A. Adaptive
B. Predictive
Answer: A
Explanation:
There are two types of scaling approaches
in virtual platforms:
adaptive and predictive. Both approaches are usable; however, a designer must work out which is the best approach for each project. The adaptive approach to guest virtual machine design is a major advantage that virtualization technology brings to a datacenter. It allows a guest virtual machine to be created initially on a few metrics or high-level requirements (such as a limited budget) and scaled (that is, grown, not shrunk) through the virtual machine life cycle. In many cases, this scaling can be performed hot/live without outage/downtime to the running applications. The predictive approach, on the other hand, requires more planning and research, and you must know the metrics before deployment. The advantage here is that once the virtual machine has been deployed, only application maintenance is required. The application requirements are known.