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NEW QUESTION: 1
シミュレーション
概要
試験の次のセクションはラボです。このセクションでは、ライブ環境で一連のタスクを実行します。ほとんどの機能はライブ環境と同様に使用できますが、一部の機能（コピーと貼り付け、外部Webサイトへの移動機能など）は設計上不可能です。
スコアは、ラボで述べられているタスクを実行した結果に基づいています。言い換えれば、タスクをどのように達成するかは問題ではありません。タスクを正常に実行すると、そのタスクのクレジットを獲得できます。
ラボの時間は個別ではなく、この試験には複数のラボが必要な場合があります。各ラボを完了するのに必要な時間を使用できます。ただし、与えられた時間内にラボと試験の他のすべてのセクションを完了することができるように、時間を適切に管理する必要があります。
ラボ内で[次へ]ボタンをクリックして作業を送信すると、ラボに戻ることはできません。
ラボを開始するには
[次へ]ボタンをクリックして、ラボを開始できます。
会社は、いくつかの基幹業務アプリケーションのソースファイルをAzureでホストすることを計画しています。
storagelod8095859ストレージアカウントにcorpsoftwareという名前のAzureファイル共有を作成する必要があります。ソリューションでは、corpsoftwareが最大250 GBのデータのみを保存できるようにする必要があります。
Azureポータルから何をすべきですか？
A. 以下の説明を参照
Answer: A
Explanation:
ステップ1. Azureポータルのストレージアカウントブレードに移動します。

ステップ2. [ファイル共有の追加]ボタンをクリックします。

ステップ3.名前（storagelod8095859）とクォータ（250 GB）を指定します。

参照：
https://docs.microsoft.com/en-us/azure/storage/files/storage-how-to-create-file-share

NEW QUESTION: 2
パブリックGlobalOrder Promising Webサービスを外部の注文キャプチャおよび管理システムと統合することに関して間違っている3つのステートメントはどれですか？ （3つ選択してください。）
A. Oracle Order Managementで注文が作成される前に、サービスを使用して潜在的な注文の供給の可用性を照会することはできません。
B. 外部注文管理システムでスケジュールされている販売注文をGlobal OrderPromisingに収集することはできません。
C. パブリックWebサービスを使用してGlobal Order Promisingを呼び出すには、いくつかの手順が必要です。
D. 外部注文管理システムでスケジュールされている販売注文をGlobal OrderPromisingに収集できます。
E. パブリックWebサービスを使用してGlobal OrderPromisingを呼び出すことができるようにするための手順は必要ありません。
Answer: A,C,D

NEW QUESTION: 3
A hotel booking application allows customers to change rooms after making a reservation. The status of each room in each hotel is stored on a data page sourced from a database table.
Which two configuration options do you use to update the database table when a customer changes rooms?
(Choose two.)
A. A When rule to trigger the database update
B. A savable data page containing the room information
C. An editable data page containing the room information
D. A data transform to copy updates to the data page
Answer: C,D

NEW QUESTION: 4
Which tool provides the easiest way to run ad-hoc queries for data in S3 without the need to set up or manage any servers.
Choose the correct answer:
A. EMR
B. Redshift
C. SQS
D. Athena
Answer: D
Explanation:
Query services like Amazon Athena, data warehouses like Amazon Redshift, and sophisticated data processing frameworks like Amazon EMR, all address different needs and use cases. You just need to choose the right tool for the job. Amazon Redshift provides the fastest query performance for enterprise reporting and business intelligence workloads, particularly those involving extremely complex SQL with multiple joins and sub-queries. Amazon EMR makes it simple and cost-effective to run highly distributed processing frameworks such as Hadoop, Spark, and Presto when compared to on-premises deployments. Amazon EMR is flexible ?you can run custom applications and code, and define specific compute, memory, storage, and application parameters to optimize your analytic requirements. Amazon Athena provides the easiest way to run ad-hoc queries for data in S3 without the need to setup or manage any servers Reference:
https://aws.amazon.com/athena/faqs/