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NEW QUESTION: 1
Amazon RDS for Oracle을 사용할 수 있는 두 가지 유형의 라이센스 옵션은 무엇입니까?
A. 역할 기반 라이센스 및 라이센스 포함
B. BYOL 및 라이센스 포함
C. 엔터프라이즈 라이센스 및 라이센스 포함
D. BYOL 및 엔터프라이즈 라이센스
Answer: B
NEW QUESTION: 2
あなたの会社はGitベースのソース管理に使用されるオンプレミスのBitbucket Serverを持っています。サーバーは、インバウンドインターネットトラフィックをブロックするファイアウォールによって保護されています。
Azure DevOpsを使用してビルドおよびリリースプロセスを管理する予定です。
Azure DevOpsとBitbucketを統合するために必要なコンポーネントはどれですか？
それぞれの正しい答えは解決策の一部を表しています。
注：それぞれ正しい選択は1ポートの価値があります。
A. 配置Mグループ
B. 自己ホスト型エージェント
C. 外部Gitサービス接続
D. サービスフック
E. マイクロソフトがホストするエージェント
Answer: B,C
Explanation:
When a pipeline uses a remote, 3rd-party repository host such as Bitbucket Cloud, the repository is configured with webhooks that notify Azure Pipelines Server or TFS when code has changed and a build should be triggered. Since on-premises installations are normally protected behind a firewall, 3rd-party webhooks are unable to reach the on-premises server. As a workaround, you can use the External Git repository type which uses polling instead of webhooks to trigger a build when code has changed.
References:
https://docs.microsoft.com/en-us/azure/devops/pipelines/repos/pipeline-options-for
NEW QUESTION: 3
다음 중 기계적 부하의 구성 요소 중 새로운 뼈 형성을 자극하는데 중요한 요소는 무엇입니까?
A. 휴식 기간
B. 크기
C. 적재 비율
D. 힘의 방향
Answer: A
NEW QUESTION: 4
ソリューションアーキテクトがAWSにデプロイされる新しいアプリケーションのクラウドアーキテクチャを設計しているプロセスは、処理するジョブの数に基づいて、必要に応じてアプリケーションノードを追加および削除しながら並行して実行する必要がありますプロセッサーアプリケーションはステートレスですソリューションアーキテクトは、アプリケーションは疎結合であり、ジョブアイテムは永続的に保存されます。ソリューションアーキテクトはどの設計を使用する必要がありますか？
A. 処理が必要なジョブを保持するAmazon SQSキューを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成しますAMIを使用する起動構成を作成します起動構成セットを使用してAuto Scalingグループを作成しますネットワークの使用状況に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
B. 処理が必要なジョブを保持するAmazon SQSキューを作成します。プロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成します。AMIを使用する起動テンプレートを作成します。起動テンプレートを使用してAuto Scalingグループを作成します。 SQSキュー内のアイテム数に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
C. 処理が必要なジョブを送信するためのAmazon SNSトピックを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成しますAMIを使用する起動構成を作成します起動構成セットを使用してAuto Scalingグループを作成しますCPU使用率に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー
D. 処理が必要なジョブを送信するためのAmazon SNSトピックを作成しますプロセッサーアプリケーションで構成されるAmazonマシンイメージ（AMI）を作成しますAMIを使用する起動テンプレートを作成します起動テンプレートセットを使用してAuto Scalingグループを作成しますSNSトピックにパブリッシュされたメッセージの数に基づいてノードを追加および削除するAuto Scalingグループのスケーリングポリシー。
Answer: B
Explanation:
Amazon Simple Queue Service
Amazon Simple Queue Service (SQS) is a fully managed message queuing service that enables you to decouple and scale microservices, distributed systems, and serverless applications. SQS eliminates the complexity and overhead associated with managing and operating message oriented middleware, and empowers developers to focus on differentiating work. Using SQS, you can send, store, and receive messages between software components at any volume, without losing messages or requiring other services to be available. Get started with SQS in minutes using the AWS console, Command Line Interface or SDK of your choice, and three simple commands.
SQS offers two types of message queues. Standard queues offer maximum throughput, best-effort ordering, and at-least-once delivery. SQS FIFO queues are designed to guarantee that messages are processed exactly once, in the exact order that they are sent.
Scaling Based on Amazon SQS
There are some scenarios where you might think about scaling in response to activity in an Amazon SQS queue. For example, suppose that you have a web app that lets users upload images and use them online. In this scenario, each image requires resizing and encoding before it can be published. The app runs on EC2 instances in an Auto Scaling group, and it's configured to handle your typical upload rates. Unhealthy instances are terminated and replaced to maintain current instance levels at all times. The app places the raw bitmap data of the images in an SQS queue for processing. It processes the images and then publishes the processed images where they can be viewed by users. The architecture for this scenario works well if the number of image uploads doesn't vary over time. But if the number of uploads changes over time, you might consider using dynamic scaling to scale the capacity of your Auto Scaling group.
https://aws.amazon.com/sqs/#:~:text=Amazon%20SQS%20leverages%20the%20AWS,queues%20provide%20nearly%20unlimited%20throughput.
https://docs.aws.amazon.com/autoscaling/ec2/userguide/as-using-sqs-queue.html