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NEW QUESTION: 1
You have an Azure data factory.
You need to ensure that pipeline-run data is retained for 120 days. The solution must ensure that you can query the data by using the Kusto query language.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.

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
マスタースレーブレプリケーション設定では、このエラーを示すスレーブがあります。

マスターサーバーでは、バイナリログに次のように表示されます。

このエラーの原因は何でしょうか。 （2つ選んでください。）
A. binlog_cache_size = 1024が小さすぎるため、トランザクションが失われます。
B. enforce_gtid_consistency = ONで、マスターとスレーブの間の一貫性が壊れています。
C. スレーブのsync_relay_log = 1000設定が小さすぎます。
D. binlog_format = STATEMENT、および非決定的クエリが実行されました。
E. sync_binlog = 0、マスターサーバーがクラッシュしました。
Answer: A,B

NEW QUESTION: 3
機械学習ユーザーを定義するには、どの2つの方法を使用できますか？ （2つ選択してください。）
A. Oracle Cloud Infrastructure Console
B. クライアントツール
C. DBMS_CLOUD_ADMINパッケージを使用
D. SQL /開発者
Answer: B,D
Explanation:
Explanation
Initially, the Role field shows the role None for existing database users. After adding a user the role Developer is assigned to the user.
Use SQL Dev or Client tools
https://docs.oracle.com/en/cloud/paas/autonomous-data-warehouse-cloud/user/manage-users-oml.html#GUID-D

NEW QUESTION: 4
A customer has 100 notebook computers. Each computer has an x86 processor.
The customer plans to upgrade the computers to Windows 7.
You need to recommend an operating system for the computers. The solution must ensure that users can
secure their local data by using Windows BitLocker Drive Encryption (BitLocker) and the solution must
support volume activation.
Which operating system should you recommend?
A. a 64-bit version of Windows 7 Home Premium
B. a 32-bit version of Windows 7 Professional
C. a 32-bit version of Windows 7 Home Premium
D. a 32-bit version of Windows 7 Ultimate
E. a 64-bit version of Windows 7 Enterprise
F. a 32-bit version of Windows 7 Enterprise
G. a 64-bit version of Windows 7 Ultimate
H. a 64-bit version of Windows 7 Professional
Answer: F