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NEW QUESTION: 1


Shape: constructor Square: foo Shape: foo


A. Option C
B. Option E
C. Option D
D. Option B
E. Option A
Answer: C

NEW QUESTION: 2
オークションWebサイトにより、ユーザーは収集可能なアイテムに入札できます。オークションルールでは、各入札は一度だけ、受け取った順序で処理される必要があります。現在の実装は、入札レコードをAmazon Kinesis Data Streamsに書き込むAmazon EC2ウェブサーバーのフリートに基づいています。単一のt2.largeインスタンスには、入札プロセッサを実行するcronジョブがあります。このジョブは、Kinesis Data Streamsから着信入札を読み取り、各入札を処理します。オークションサイトの人気は高まっていますが、ユーザーは一部の入札が登録されていないことに不満を持っています。
トラブルシューティングは、需要のピーク時に入札プロセッサが遅すぎることを示し、処理中にクラッシュしたり、処理中のレコードを追跡できなくなることがあります。
どのような変更により、入札処理の信頼性が向上しますか?
A. 入札をKinesis Data Streamsに送信するときに、Amazon Kinesis Producer Library(KPL)を使用するようにWebアプリケーションをリファクタリングします。入札プロセッサをリファクタリングして、Kinesis Data Streamsの各レコードを未読、処理、および処理済みとしてフラグを立てます。各入札処理の実行の開始時に、Kinesis Data Streamsで未処理のレコードをスキャンします。
B. 各受信入札をKinesis Data Streamsの代わりにAmazon SQS FIFOキューにポストするようにWebアプリケーションをリファクタリングします。入札プロセッサをリファクタリングして、SQSキューを継続的に作成します。最小および最大サイズが1のAuto Scalingグループに入札処理EC2インスタンスを配置します。
C. Kinesis Data Streamsの代わりに、受信した各入札をAmazon SNSトピックに投稿するようにWebアプリケーションをリファクタリングします。ユーザーが送信するとすぐに各入札を処理するAWS Lambda関数をトリガーするようにSNSトピックを設定します。
D. EC2インスタンスタイプをt2.largeからより大きな一般的なコンピューティングインスタンスタイプに切り替えます。 Kinesis Data StreamsのIncomingRecordsメトリックスに基づいて、入札プロセッサを実行しているEC2インスタンスの数をスケールアウトするAuto Scalingグループに入札プロセッサEC2インスタンスを配置します。
Answer: B
Explanation:
FIFO is better in this case compared to Kinesis, as it guarantee the order of the bid. Min Max 1, is okay as the SQS will hold the queue in case of failure of the instance, till it come back again.

NEW QUESTION: 3
Your company is a Cloud Solution Provider (CSP) that provides Azure Stack Hub services to multiple customers in a multitenant environment.
User subscriptions are linked to Azure CSP subscriptions for billing reconciliation.
You need to view the usage of all the customers for the current day and the last seven days.
What should you do?
A. Query the Partner Center Usage API
B. From Partner Center, view the usage associated to the Azure Partner Shared Services (APSS) subscription
C. Query the Azure Stack Hub usage API
D. From Partner Center, download the daily-rated usage reconciliation CSV
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure-stack/operator/azure-stack-provider-resource-api?view=azs-2008

NEW QUESTION: 4
Which product should you recommend for the research department?
A. Microsoft Azure
B. Microsoft Dynamics CRM Online
C. Microsoft System Center 2012 R2
D. Windows Intune
Answer: A
Explanation:
* Scenario: The research department reports that it frequently lacks the server hardware resources to test new multi-tiered applications.
* Use the cloud to host the application.