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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
A. EXAMPLE
B. SYSAUX
C. SYSTEM
D. USERS
Answer: C
NEW QUESTION: 3
A BPM application developer has enabled auto-tracking for a car tire production and run the update tracking definitions command in process designer. During a playback, the BPM application developer is asked to rename the auto-tracking group from "at1392376481525" to "tireProduction" and run update tracking definitions again.
When building a custom dashboard, what resource should the BPM application developer use to retrieve the data?
A. The "tireProduction" view for the "tireProduction" table.
B. The "at1392376481525" view for the "at1392376481525" table.
C. The "at1392376481525" view for the "tireProduction" table.
D. The "tireProduction" view for the "at1392376481525" table.
Answer: D
NEW QUESTION: 4
A. Option C
B. Option A
C. Option B
D. Option D
Answer: A