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NEW QUESTION: 1
Released with version 8.0,which connectors support multiple correlation IDs (one input to multiple outputs)"? (Select two.)
A. MSMQ Connector
B. WebSphere MO (WSMQ) Connector y
C. SOAP Connector
D. JMS Connector
E. JDBC Connector
Answer: A,C

NEW QUESTION: 2
A technician for an enterprise company is determining the best method to keep the organization's
Windows PCs up to date with OS security patches. Which of the following options would be MOST
appropriate to deploy?
A. Invest in a server solution to deploy virtual hosted desktops for all users
B. Enable Windows updates to be installed manually by users
C. Validate OS security patches in a test environment before pushing them to user machines
D. Outsource OS security patch management to a third-party solution provider
Answer: C

NEW QUESTION: 3
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. 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。
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。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。
D. 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。
Answer: C
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.