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NEW QUESTION: 1
Elastic Load Balancing（ELB）で使用できるロードバランサーのタイプはどれですか？ （2つ選択してください。）
A. パブリックIPとプライベートIPを備えたクロスゾーンロードバランサー
B. AWS Application Auto Scaling機能を備えたパブリックロードバランサー
C. アプリケーションロードバランサー
D. クラシックロードバランサー
E. F5Big-IPおよびCitrix NetScalerロードバランサー
Answer: B,C
Explanation:
Elastic Load Balancing supports the following types of load balancers: Application Load Balancers, Network Load Balancers, and Classic Load Balancers. Amazon ECS services can use either type of load balancer. Application Load Balancers are used to route HTTP/HTTPS (or Layer 7) traffic. Network Load Balancers and Classic Load Balancers are used to route TCP (or Layer 4) traffic.
Reference:
https://docs.aws.amazon.com/AmazonECS/latest/developerguide/load-balancer-types.html

NEW QUESTION: 2
Azure Kubernetes Service（AKS）クラスターがあります。
Azure DevOpsを使用して、クラスターにアプリケーションをデプロイする必要があります。
どの3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

You can set up a CI/CD pipeline to deploy your apps on a Kubernetes cluster with Azure DevOps by leveraging a Linux agent, Docker, and Helm.
Step 1: Create a service principle in Azure Active Directory (Azure AD) We need to assign 3 specific service principals with specific Azure Roles that need to interact with our ACR and our AKS.
Create a specific Service Principal for our Azure DevOps pipelines to be able to push and pull images and charts of our ACR.
Create a specific Service Principal for our Azure DevOps pipelines to be able to deploy our application in our AKS.
Step 2: Add a Helm package and deploy a task to the deployment pipeline This is the DevOps workflow with containers:

Step 3: Add a Docker Compose task to the deployment pipeline.
Dockerfile file is a script leveraged by Docker, composed of various commands (instructions) and arguments listed successively to automatically perform actions on a base image in order to create a new Docker image by packaging the app.
Reference:
https://cloudblogs.microsoft.com/opensource/2018/11/27/tutorial-azure-devops-setup-cicd-pipeline-kubernetes-d

NEW QUESTION: 3
ゲームアプリケーションはキャッシュに大きく依存しており、Redis用Amazon ElastiCacheを使用します。
キャッシュノードの障害により、アプリケーションのパフォーマンスが最近低下しました。
ソリューションアーキテクトは、将来のパフォーマンスの低下を最小限に抑えるために何を推奨すべきですか？
A. 自動バックアップを構成してキャッシュデータを保存する
B. ElastiCacheからAmazon RDSへの移行
C. 自動フェイルオーバーでElastiCache Multi-AZを構成します
D. Auto Scalingを使用して、CPU使用率に基づいてキャッシュノードをプロビジョニングします
Answer: C
Explanation:
Explanation
Enabling ElastiCache Multi-AZ with automatic failover on your Redis cluster (in the API and CLI, replication group) improves your fault tolerance. This is true particularly in cases where your cluster's read/write primary cluster becomes unreachable or fails for any reason. Multi-AZ with automatic failover is only supported on Redis clusters that support replication.