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NEW QUESTION: 1
A leasing company generates and emails POF statements every month for all its customers. Each statement is about 400 KB in size. Customers can download their statements from the website for up to 30 days from when the statements were generated. At the end of their 3-year lease, the customers are emailed a ZIP file that contains all the statements What is the MOST cost-effective storage solution for this situation?
A. Store the statements using the Amazon S3 Glacier storage class Create a lifecycle policy to move the statements to Amazon S3 Glacier Deep Archive storage after 30 days.
B. Store the statements using the Amazon S3 Standard storage class Create a lifecycle policy to move the statements to Amazon S3 Glacier storage after 1 day.
C. Store the statements using the Amazon S3 Standard storage class. Create a lifecycle policy to move the statements to Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA) storage after 30 days.
D. Store the statements using the Amazon S3 Standard-Infrequent Access (S3 Standard-IA) storage class. Create a lifecycle policy to move the statements to Amazon S3 Glacier storage after 30 days.
Answer: A

NEW QUESTION: 2
CORRECT TEXT
What command would you type to use the cpio command to create a backup called backup.cpio of all the users home directories?
Answer:
Explanation:
find /home | cpio -o > backup.cpio
Explanation: The cpio command expects to receive a list that contains one file per line.
That is exactly the type of list that the find utility creates. The ls utility can also create this type of list, meaning that you will see either of the ls or the find utilities used in conjunction with cpio. And since cpio archives a list of files it receives from standard input, you usually use a pipe (|) whenever you create an archive with the cpio utility.
A lot of documentation suggests using the -print option with the find command. For example, find /home -print | cpio -o > backup.cpio. However, this is not required on
Linux systems, and other systems that use GNU find, although it is required on Unix systems.

NEW QUESTION: 3
次の表に示すAzureリソースを含むAzureの注文処理システムを設計しています。

注文処理システムには、次のトランザクションフローがあります。
顧客はApp1を使用して注文します。
注文を受け取ると、App1はベンダー1とベンダー2での製品の入手可能性を確認するメッセージを生成します。
統合コンポーネントはメッセージを処理し、注文のタイプに応じてFunction1またはFunction2のいずれかをトリガーします。
ベンダーが製品の入手可能性を確認すると、App1のステータスメッセージがFunction1またはFunction2によって生成されます。
トランザクションのすべてのステップがstorage1に記録されます。
統合コンポーネントにはどのタイプのリソースを推奨する必要がありますか？
統合コンポーネントにはどのタイプのリソースを推奨する必要がありますか？
A. Azure ServiceBusキュー
B. Azureイベントグリッドドメイン
C. Azure DataFactoryパイプライン
D. Azure EventHubsのキャプチャ
Answer: C
Explanation:
A data factory can have one or more pipelines. A pipeline is a logical grouping of activities that together perform a task.
The activities in a pipeline define actions to perform on your data.
Data Factory has three groupings of activities: data movement activities, data transformation activities, and control activities.
Azure Functions is now integrated with Azure Data Factory, allowing you to run an Azure function as a step in your data factory pipelines.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/concepts-pipelines-activities