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NEW QUESTION: 1
Azureデータファクトリがあります。
パイプライン実行データが120日間保持されるようにする必要があります。ソリューションでは、Kustoクエリ言語を使用してデータをクエリできることを確認する必要があります。
どの4つのアクションを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序で配置します。
注：回答の選択肢の複数の順序が正しいです。選択した正しい注文のいずれかに対してクレジットを受け取ります。

Answer:
Explanation:
Explanation

Step 1: Create an Azure Storage account that has a lifecycle policy
To automate common data management tasks, Microsoft created a solution based on Azure Data Factory.
The service, Data Lifecycle Management, makes frequently accessed data available and archives or purges other data according to retention policies. Teams across the company use the service to reduce storage costs, improve app performance, and comply with data retention policies.
Step 2: Create a Log Analytics workspace that has Data Retention set to 120 days.
Data Factory stores pipeline-run data for only 45 days. Use Azure Monitor if you want to keep that data for a longer time. With Monitor, you can route diagnostic logs for analysis to multiple different targets, such as a Storage Account: Save your diagnostic logs to a storage account for auditing or manual inspection. You can use the diagnostic settings to specify the retention time in days.
Step 3: From Azure Portal, add a diagnostic setting.
Step 4: Send the data to a log Analytics workspace,
Event Hub: A pipeline that transfers events from services to Azure Data Explorer.
Keeping Azure Data Factory metrics and pipeline-run data.
Configure diagnostic settings and workspace.
Create or add diagnostic settings for your data factory.
In the portal, go to Monitor. Select Settings > Diagnostic settings.
Select the data factory for which you want to set a diagnostic setting.
If no settings exist on the selected data factory, you're prompted to create a setting. Select Turn on diagnostics.
Give your setting a name, select Send to Log Analytics, and then select a workspace from Log Analytics Workspace.
Select Save.
Reference:
https://docs.microsoft.com/en-us/azure/data-factory/monitor-using-azure-monitor

NEW QUESTION: 2
Consider the network configuration shown in the command prompt:
What does the Default Gateway identify?
A. The router on the network
B. The local host on the network
C. The file server on the network
D. The computer on the network
Answer: A

NEW QUESTION: 3
AWS Config Rulesを使用して特定された非準拠リソースは、運用サービスから自動的に削除されます。
A. True
B. 偽
C. 6時間以上非準拠のままである場合のみ
D. ルール構成に依存
Answer: B
Explanation:
Each time a change is made to one of your supported resources, AWS config will check its compliance against any Config Rules that you have in place. If there is a violation against these rules then AWS Config will send a message to the Configuration Stream via SNS and the resource will be marked as `noncompliant'.
It's important to note that this does not mean the resource will be taken out of service or it will stop working. It will continue to operate exactly as it is with its new configuration. AWS Config simply alerts you that there is a violation and it's up to you to take the appropriate action.
Reference:
http://docs.aws.amazon.com/config/latest/developerguide/evaluate-config_view-compliance.html

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