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NEW QUESTION: 1
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、下のパスワードをクリックします。
Azureユーザー名：[email protected]
Azureパスワード：Ag1Bh9！#Bd
以下の情報は、テクニカル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AzureStorageアカウントにすべての監査失敗データを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。
このタスクは完了するまでに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

NEW QUESTION: 2
あなたは自律輸送システムのためのソフトウェアソリューションを開発しています。このソリューションでは、大規模なデータセットとAzure Batch処理を使用して、車両全体のナビゲーションセットをシミュレートします。
Azure Batchでソリューションの計算ノードを作成する必要があります。
あなたは何をするべきか？
A. .NETメソッドで、メソッドを呼び出します：BatchClient.PoolOperations.CreateJob
B. Pythonでは、クラスを実装します：JobAddParameter
C. Pythonでは、クラスを実装します：TaskAddParameter
D. Azureポータルで、Batchアカウントを作成します
Answer: A
Explanation:
Explanation
A Batch job is a logical grouping of one or more tasks. A job includes settings common to the tasks, such as priority and the pool to run tasks on. The app uses the BatchClient.JobOperations.CreateJob method to create a job on your pool.
Note:
Step 1: Create a pool of compute nodes. When you create a pool, you specify the number of compute nodes for the pool, their size, and the operating system. When each task in your job runs, it's assigned to execute on one of the nodes in your pool.
Step 2 : Create a job. A job manages a collection of tasks. You associate each job to a specific pool where that job's tasks will run.
Step 3: Add tasks to the job. Each task runs the application or script that you uploaded to process the data files it downloads from your Storage account. As each task completes, it can upload its output to Azure Storage.

NEW QUESTION: 3
Which line segment represents the length of time to consume the total quantity of materials ordered?
A. BC.
B. AE.
C. DE.
D. A
Answer: D
Explanation:
Time is shown along the axis. The line segment AC depicts the time to consume an entire order to reduce the inventory to the safety stock).