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NEW QUESTION: 1
Fourth Coffee has an ASP.Net Core web app that runs in Docker. The app is mapped to the www.fourthcoffee.com domain.
Fourth Coffee is migrating this application to Azure.
You need to provision an App Service Web App to host this docker image and map the custom domain to the App Service web app.
A resource group named FourthCofeePublicWebResourceGroup has been created in the WestUS region that contains an App Service Plan named AppServiceLinuxDockerPlan.
Which order should the CLI commands be used to develop the solution? To answer, move all of the Azure CLI commands from the list of commands to the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

NEW QUESTION: 2
A customer wants to de-install a USP which is currently virtualized behind an HUS VM. They have stopped the Host I/O to the affected LUNs and have unmounted them. What is the next sequence?
A. Switch off cache mode for the external volumes > power off the USP
B. Delete LUN Paths > perform Disconnect External Storage for the USP > delete the external volumes > power off the USP
C. Perform Disconnect External Storage for the USP > disconnect the external volumes > power off the USP
D. Delete LUN Paths > power off the USP
Answer: B

NEW QUESTION: 3
An administrator has installed Symantec Endpoint Protection 12.1 using an embedded database. Which
two database maintenance tasks are available in the Symantec Endpoint Protection Manager console?
(Select two.)
A. deleting clients who have not connected recently from the console
B. rebuilding of database indexes
C. limiting the client installation log entries
D. truncating database transaction logs
E. limiting the number of backups to keep
Answer: B,D

NEW QUESTION: 4
会社は、AWS LambdaとAmazon API Gatewayを利用したサーバーレスアーキテクチャを使用するウェブアプリケーションとモバイルアプリケーションを構築しています。会社は、AWS CodeCommitリポジトリの適切な環境ブランチにプッシュされるコードに基づいて、バックエンドのLambdaデプロイメントを完全に自動化したいと考えています。
デプロイメントには以下が必要です。
-テスト用と本番用の別々の環境パイプライン。
-テスト環境でのみ発生する自動展開。
これらの要件を満たすには、どの手順を実行する必要がありますか？
A. テスト環境と本番環境用のAWS CodeBuild構成を作成します。手動承認ステップを持つように本番パイプラインを構成します。環境ごとにブランチを持つ1つのCodeCommitリポジトリを作成します。 Lambda関数コードをAmazon S3バケットにプッシュします。 S3バケットからLambda関数をデプロイするデプロイステップを設定します。
B. テスト環境と本番環境用に2つのAWS CodePipeline構成を作成します。手動承認ステップを持つように本番パイプラインを構成します。環境ごとにブランチを持つ1つのCodeCommitリポジトリを作成します。リポジトリの適切なブランチからソースコードを取得するように各CodePipelineを設定します。 AWS CloudFormationでLambda関数をデプロイするためのデプロイ手順を設定します。
C. テスト環境と本番環境用に2つのAWS CodePipeline構成を作成します。手動承認ステップを持つように本番パイプラインを構成します。各環境のCodeCommitリポジトリを作成します。各CodePipelineを設定して、適切なリポジトリからソースコードを取得します。 AWS CloudFormationでLambda関数をデプロイするためのデプロイ手順を設定します。
D. 新しいAWS CodePipelineサービスを構成します。各環境のCodeCommitリポジトリを作成します。
CodePipelineを設定して、適切なリポジトリからソースコードを取得します。 AWS CloudFormationでLambda関数をデプロイするためのデプロイ手順を設定します。
Answer: B
Explanation:
First, A&B both are in-correct: As a basic policy - do not create a repo for the same code for multiple environments. Always create a branch from the same repo. The strategy is wrong for A&B. Now C&D: D uses Lambda function with s3, whereas C uses code pipeline to store and build. Using code pipeline is a smart choice rather than using S3 as a code pipeline that offers better branching strategy and controls.