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NEW QUESTION: 1
One benefit of completing a descriptive analysis regarding a student's in-school behavior is that it:
A. may provide essential information not available through other means.
B. frees the classroom teacher from having to spend too much time collecting behavioral information.
C. allows the observer and student to develop rapport.
D. confirms hypotheses regarding functional relationships.
Answer: A

NEW QUESTION: 2
組織のセキュリティポリシーは、インターネットベースのファイル共有およびストレージアプリケーションの使用を禁止しています。このポリシーの違反を監視するために、DLP Endpoint管理者はどのルールを設定できますか？
A. アプリケーションファイルアクセス保護規則
B. ファイルシステム保護規則
C. クラウド保護ルール
D. 電子メール保護ルール
Answer: C

NEW QUESTION: 3
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have a virtual machine scale set (VMSS) with three virtual machines (VMs). You define rules based on performance metrics and application response. You must define the performance metrics based on the data collected.
You need to configure the autoscale rules.
Solution: Use Azure PowerShell to create rules to automatically scale out the VMSS.
Does the solution meet the goal?
A. Yes
B. No
Answer: A
Explanation:
Explanation/Reference:
Explanation:
To create autoscale rules that use more detailed performance metrics, you can install and configure the Azure diagnostics extension on VM instances, or configure your application use App Insights.
Autoscale rules that use host-based metrics can be created with one of the following tools:
Azure portal

Azure PowerShell

Azure CLI 2.0

Azure template

Note: You can create autoscale rules that built-in host metrics available from your VM instances. Host metrics give you visibility into the performance of the VM instances in a scale set without the need to install or configure additional agents and data collections. Autoscale rules that use these metrics can scale out or in the number of VM instances in response to CPU usage, memory demand, or disk access.
References: https://docs.microsoft.com/en-us/azure/virtual-machine-scale-sets/virtual-machine-scale-sets- autoscale-overview