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NEW QUESTION: 1
100個の仮想マシンを含むAzureサブスクリプションがあります。
仮想マシンは定期的に作成および削除します。
削除できる未使用のディスクを特定する必要があります。
あなたは何をするべきか？
A. Cloudynから、コスト管理レポートを作成します。
B. Azureポータルから、Advisorの推奨事項を構成します。
C. Cloudynから、オプティマイザーを開きます
D. Microsoft Azureストレージエクスプローラーから、アカウント管理のプロパティを表示します。
Answer: C
Explanation:
Explanation
The Unattached Disks report lists storage that is not attached to any active VM. To open the report, click in the Optimizer tab. Select Inefficiencies and the click Unattached Disks.
Rreferences:
https://social.msdn.microsoft.com/Forums/en-US/0e4b3c28-a7f3-416b-84b7-3753f534e1b9/faq-how-to-save-mo
https://docs.microsoft.com/en-us/azure/cost-management/overview

NEW QUESTION: 2
You have 100 computers that run Windows 8.1 and are enrolled in Upgrade Readiness.
Two of the computers are configured as shown in the following table.

From Upgrade Readiness, you view the applications shown in the following table.

You enroll a computer named Computer3 in Upgrade Readiness. Computer3 has the following configurations:
8 GB of memory
64-bit architecture
An application named App3 installed
App3 is installed on Computer3 only.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

NEW QUESTION: 3
Your company analyzes images from security cameras and sends to security teams that respond to unusual activity. The solution uses Azure Databricks.
You need to send Apache Spark level events, Spark Structured Streaming metrics, and application metrics to Azure Monitor.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions in the answer area and arrange them in the correct order.

Answer:
Explanation:

Explanation

You can send application logs and metrics from Azure Databricks to a Log Analytics workspace.
Spark uses a configurable metrics system based on the Dropwizard Metrics Library.
Prerequisites: Configure your Azure Databricks cluster to use the monitoring library.
Note: The monitoring library streams Apache Spark level events and Spark Structured Streaming metrics from your jobs to Azure Monitor.
To send application metrics from Azure Databricks application code to Azure Monitor, follow these steps:
Step 1. Build the spark-listeners-loganalytics-1.0-SNAPSHOT.jar JAR file Step 2: Create Dropwizard gauges or counters in your application code.
Reference:
https://docs.microsoft.com/bs-latn-ba/azure/architecture/databricks-monitoring/application-logs