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NEW QUESTION: 1
What is a key advantage of data striping across multiple disks as compared to a single disk?
A. Capacity
B. Protection
C. Performance
D. Space utilization
Answer: C

NEW QUESTION: 2
A DevOps Engineer is building a continuous deployment pipeline for a serverless application using AWS CodePipeline and AWS CodeBuild. The source, build, and test stages have been created with the deploy stage remaining. The company wants to reduce the risk of an unsuccessful deployment by deploying to a specified subset of customers and monitoring prior to a full release to all customers.
How should the deploy stage be configured to meet these requirements?
A. Use CodeBuild to use the AWS CLI to update the AWS Lambda function code, then publish a new version of the function and update the production alias to point to the new version of the function.
B. Use AWS CloudFormation to define the serverless application and AWS CodeDeploy to deploy the AWS Lambda functions using DeploymentPreference: . Canary10Percent15Minutes
C. Use AWS CloudFormation to publish a new version on every stack update. Then set up a CodePipeline approval action for a Developer to test and approve the new version. Finally, use a CodePipeline invoke action to update an AWS Lambda function to use the production alias
D. Use AWS CloudFormation to publish a new version on every stack update. Use the RoutingConfig property of the AWS::Lambda::Alias resource to update the traffic routing during the stack update.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/automating-updates-to-serverle

NEW QUESTION: 3
必要に応じて、次のログイン資格情報を使用します。
Azureユーザー名：xxxxx
Azureパスワード：xxxxx
次の情報は、テクニカルサポートのみを目的としています。
ラボインスタンス：10543936

VNET1という名前の仮想ネットワーク上のリソースのみがstorage10543936という名前のAzureストレージアカウントにアクセスできるようにする必要があります。
このタスクを完了するには、Azureポータルにサインインします。
Answer:
Explanation:
See the explanation below.
Explanation
You can use Private Endpoints for your Azure Storage accounts to allow clients on a virtual network (VNet) to securely access data over a Private Link.
Create your Private Endpoint
1. On the upper-left side of the screen in the Azure portal, Storage > Storage account, and select your storage account storage10543936
2. Select Networking.
3. Select Add Private Endpoint.
4. In Create Private Endpoint, enter or select this information:
Virtual network: Select VNET1 from the resource group.
5. Select OK.
6. Select Review + create. You're taken to the Review + create page where Azure validates your configuration.
Reference:
https://docs.microsoft.com/en-us/azure/private-link/create-private-endpoint-storage-portal

NEW QUESTION: 4
ある会社では、15分ごとに更新される天気予報を生成するアプリケーションを使用しています。この解像度は、それぞれ固有のサイズが約20バイト（予測あたり20ギガバイト）の10億の固有の位置の出力解像度です。毎時、予測データは世界的におよそ500万回アクセスされ（毎秒1,400要求）、そして天気イベントの間に最大10倍多くアクセスされます。予測データは更新ごとに上書きされます。現在の天気予報アプリケーションのユーザは、各リクエストに対して、クエリに対するレスポンスが2秒以内に返されることを期待しています。
どの設計が必要な要求率と応答時間を満たしていますか？
A. 予測場所をAmazon ESクラスターに保存します。起点としてクエリに応答するAWS Lambda関数を持つAPI GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。 Amazon Lambda @ Edge関数を作成して、データをエッジロケーションに15分間ローカルにキャッシュします。
B. 予測ロケーションをAmazon EFSボリュームに保存します。 Amazon EFSボリュームをマウントしたAmazon EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成します。 CloudFrontディストリビューションで15分間のキャッシュ制御タイムアウトを設定します。
C. 予測ロケーションを個別のオブジェクトとしてAmazon S3に保存します。 S3オブジェクトの起点をクエリして、EC2インスタンスのAuto ScalingフリートのElastic Load BalancingグループをターゲットとするAmazon CloudFrontディストリビューションを作成します。キャッシュ制御タイムアウトを15分に設定します。
3CloudFrontの配布
D. 予測ロケーションをAmazon ESクラスターに保存します。起点としてクエリに応答するAWS Lambda関数を持つAmazon API GatewayエンドポイントをターゲットとするAmazon CloudFrontディストリビューションを使用します。
API Gatewayステージで、キャッシュ制御タイムアウトを15分に設定してAPIキャッシングを有効にします。
Answer: A