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NEW QUESTION: 1
WebApp1という名前のAzure Webアプリを開発しています。 WebApp1は、B1料金設定層を使用するPlan1という名前のAzure App Serviceプランを使用します。
CPU使用率が10分間70％を超えたときにアプリのインスタンスを追加するようにWebApp1を構成する必要があります。
順番に実行する必要がある3つのアクションはどれですか？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エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Box 1: From the Scale up (App Service Plan) settings blade, change the pricing tier The B1 pricing tier only allows for 1 core. We must choose another pricing tier.
Box 2: From the Scale out (App Service Plan) settings blade, enable autoscale
1.
Log in to the Azure portal at http://portal.azure.com
1. Navigate to the App Service you would like to autoscale.
2. Select Scale out (App Service plan) from the menu
3. Click on Enable autoscale. This activates the editor for scaling rules.

Box 3: From the Scale mode to Scale based on metric, add a rule, and set the instance limits.
Click on Add a rule. This shows a form where you can create a rule and specify details of the scaling.
References:
https://azure.microsoft.com/en-us/pricing/details/app-service/windows/
https://blogs.msdn.microsoft.com/hsirtl/2017/07/03/autoscaling-azure-web-apps/

NEW QUESTION: 2
Which statement is correct regarding interface-based source NAT on an SRX Series device?
A. PAT is always performed.
B. Proxy ARP must be configured.
C. PAT is never performed.
D. Proxy ARP is enabled by default.
Answer: A

NEW QUESTION: 3
Cisco ISEのIP HTTPセキュア・サーバ・コマンドの効果は何ですか。
A. Webベースの認証を使用して接続するために、ユーザー用のHTTPSサーバをイネーブルにします。
B. コマンドラインで接続するために、ユーザー用のHTTPサーバをイネーブルにします。
C. コマンドラインで接続するために、ユーザー用のHTTPSサーバをイネーブルにします。
D. Webベースの認証を使用して接続するために、ユーザー用のHTTPサーバをイネーブルにします。
Answer: A

NEW QUESTION: 4
必要に応じて、次のログイン資格情報を使用します。
ユーザー名を入力するには、サインインボックスにカーソルを置き、下のユーザー名をクリックします。
パスワードを入力するには、[パスワードの入力]ボックスにカーソルを置き、以下のパスワードをクリックします。
Azure Username: [email protected]
Azure Password: Ag1Bh9!#Bd
次の情報は、技術サポートのみを目的としています。
ラボインスタンス：10598168




VM1という名前の仮想マシンのセキュリティログからすべての監査失敗データをAzure Storageアカウントに収集する必要があります。
このタスクを完了するには、Azureポータルにサインインします。
このタスクの完了には数分かかる場合があります。タスクの完了中に他のタスクを実行できます。
Answer:
Explanation:
See the explanation below.
Explanation
Step 1: Create a workspace
Azure Monitor can collect data directly from your Azure virtual machines into a Log Analytics workspace for detailed analysis and correlation.
1. In the Azure portal, select All services. In the list of resources, type Log Analytics. As you begin typing, the list filters based on your input. Select Log Analytics workspaces.

2. Select Create, and then select choices for the following items:

3. After providing the required information on the Log Analytics workspace pane, select OK.
While the information is verified and the workspace is created, you can track its progress under Notifications from the menu.
Step 2: Enable the Log Analytics VM Extension
Installing the Log Analytics VM extension for Windows and Linux allows Azure Monitor to collect data from your Azure VMs.
1. In the Azure portal, select All services found in the upper left-hand corner. In the list of resources, type Log Analytics. As you begin typing, the list filters based on your input. Select Log Analytics workspaces.
2. In your list of Log Analytics workspaces, select DefaultWorkspace (the name you created in step 1).
3. On the left-hand menu, under Workspace Data Sources, select Virtual machines.
4. In the list of Virtual machines, select a virtual machine you want to install the agent on. Notice that the Log Analytics connection status for the VM indicates that it is Not connected.
5. In the details for your virtual machine, select Connect. The agent is automatically installed and configured for your Log Analytics workspace. This process takes a few minutes, during which time the Status shows Connecting.
After you install and connect the agent, the Log Analytics connection status will be updated with This workspace.
Reference: https://docs.microsoft.com/en-us/azure/azure-monitor/learn/quick-collect-azurevm