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NEW QUESTION: 1
A customer has an application that is being identified as unknown-top for one of their custom PostgreSQL database connections. Which two configuration options can be used to correctly categorize their custom database application? (Choose two.)
A. Application Override policy.
B. Custom Service object.
C. Custom application.
D. Security policy to identify the custom application.
Answer: A,C
Explanation:
Explanation
Unlike the App-ID engine, which inspects application packet contents for unique signature elements, the Application Override policy's matching conditions are limited to header-based data only. Traffic matched by an Application Override policy is identified by the App-ID entered in the Application entry box.Choices are limited to applications currently in the App-ID database.Because this traffic bypasses all Layer 7 inspection, the resulting security is that of a Layer-4 firewall. Thus, this traffic should be trusted without the need for Content-ID inspection. The resulting application assignment can be used in other firewall functions such as Security policy and QoS.Use CasesThree primary uses cases for Application Override Policy are:
To identify "Unknown" App-IDs with a different or custom application signature To re-identify an existing application signature To bypass the Signature Match Engine (within the SP3 architecture) to improve processing timesA discussion of typical uses of application override and specific implementation examples is here:
https://live.paloaltonetworks.com/t5/Learning-Articles/Tips-amp-Tricks-How-to-C reate-an-Application- Override/ta-p/65513
NEW QUESTION: 2
고객이 프로젝트 관리자에게 누락 된 기능을 포함하는 데 필요한 시간을 추정하도록 요청합니다. 고객은이 변경 사항을 구현하는 데 3 일이면 충분하다고 생각합니다. 그러나 PMO (Project Management Office)는 7 일이 필요하다고 생각하고 기술 책임자는 10 일이 필요하다고 생각합니다.
프로젝트 관리자는 변경에 필요한 시간을 추정하기 위해 무엇을 사용해야 합니까?
A. 파레토 다이어그램 분석
B. 베타 배포
C. 모수 추정
D. 유사 추정
Answer: B
NEW QUESTION: 3
必要に応じて、次のログイン資格情報を使用します。
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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