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NEW QUESTION: 1
로그 용량 문제를 해결해야 합니다.
당신은 무엇을 해야 합니까?
A. 함수에 대한 host.json 파일의 최소 로그 수준을 변경합니다.
B. 애플리케이션 인사이트 샘플링을 구현합니다.
C. 시작할 때 LogCategoryFilter를 설정하십시오.
D. Application Insights Telemetry Filter를 작성하십시오.
Answer: B
Explanation:
Explanation
Scenario, the log capacity issue: Developers report that the number of log message in the trace output for the processor is too high, resulting in lost log messages.
Sampling is a feature in Azure Application Insights. It is the recommended way to reduce telemetry traffic and storage, while preserving a statistically correct analysis of application data. The filter selects items that are related, so that you can navigate between items when you are doing diagnostic investigations. When metric counts are presented to you in the portal, they are renormalized to take account of the sampling, to minimize any effect on the statistics.
Sampling reduces traffic and data costs, and helps you avoid throttling.
References:
https://docs.microsoft.com/en-us/azure/azure-monitor/app/sampling
Topic 2, Proseware, Inc
Background
You are a developer for Proseware, Inc. You are developing an application that applies a set of governance policies for Proseware's internal services, external services, and applications. The application will also provide a shared library for common functionality.
Requirements
Policy service
You develop and deploy a stateful ASP.NET Core 2.1 web application named Policy service to an Azure App Service Web App. The application reacts to events from Azure Event Grid and performs policy actions based on those events.
The application must include the Event Grid Event ID field in all Application Insights telemetry.
Policy service must use Application Insights to automatically scale with the number of policy actions that it is performing.
Policies
Log policy
All Azure App Service Web Apps must write logs to Azure Blob storage. All log files should be saved to a container named logdrop. Logs must remain in the container for 15 days.
Authentication events
Authentication events are used to monitor users signing in and signing out. All authentication events must be processed by Policy service. Sign outs must be processed as quickly as possible.
Policylib
You have a shared library named PolicyLib that contains functionality common to all ASP.NET Core web services and applications. The Policy Lib library must
* Exclude non-user actions from Application Insights telemetry.
* Provide methods that allow a web service to scale itself.
* Ensure that scaling actions do not disrupt application usage.
Other
Anomaly detection service
You have an anomaly detection service that analyzes log information for anomalies. It is implemented as an Azure as a web service.
If an anomaly is detected, an Azure Function that emails administrators is called by using an HTTP WebHook.
Health monitoring
All web applications and services have health monitoring at the /health service endpoint.
Issues
Policy loss
When you deploy Policy service, policies may not be applied if they were in the process of being applied during the deployment.
Performance issue
When under heavy load, the anomaly detection service undergoes slowdowns and rejects connections.
Notification latency
Users report that anomaly detection emails can sometimes arrive several minutes after an anomaly is detected.
App code
EnventGridController.cs
Relevant portions of the app files are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which they belong.


LoginEvents.cs
Relevant portions of the app files are shown below. Line numbers are included for reference only and include a two-character prefix that denotes the specific file to which they belong.

NEW QUESTION: 2

A. Option C
B. Option E
C. Option A
D. Option B
E. Option D
Answer: C,E
Explanation:
http://technet.microsoft.com/en-us/library/dd807062%28v=WS.10%29.aspx
Before federation servers can be grouped as a farm, they must first be clustered so that requests that arrive at a single fully qualified domain name (FQDN) are routed to the various federation servers in the server farm. You can create the server cluster by deploying Network Load Balancing (NLB) inside the corporate network. This guide assumes that NLB has been configured appropriately to cluster each of the federation servers in the farm.

NEW QUESTION: 3
Google Compute Engineの本番データベース仮想マシンには、データファイル用のext4フォーマットの永続ディスクがあります。データベースのストレージスペースが不足しつつあります。最小のダウンタイムで問題を修正するにはどうすればよいですか。
A. Cloud Platform Consoleで、永続ディスクのサイズを増やし、Linuxのfdiskコマンドで新しいスペースが使用できる状態になっていることを確認します。
B. Cloud Platform Consoleで、仮想マシンに接続された新しい永続ディスクを作成し、フォーマットしてマウントし、データベースサービスを構成して、ファイルを新しいディスクに移動します。
C. 仮想マシンをシャットダウンし、Cloud Platform Consoleを使用して永続ディスクサイズを増やしてから、仮想マシンを再起動します。
D. Cloud Platform Consoleで、永続ディスクのサイズを増やし、Linuxでresize2fsコマンドを使用します。
E. Cloud Platform Consoleで、永続ディスクのスナップショットを作成し、スナップショットを新しい大きなディスクに復元し、古いディスクをアンマウントし、新しいディスクをマウントし、データベースサービスを再起動します。
Answer: D
Explanation:
説明
On Linux instances, connect to your instance and manually resize your partitions and file systems to use the additional disk space that you added.
Extend the file system on the disk or the partition to use the added space. If you grew a partition on your disk, specify the partition. If your disk does not have a partition table, specify only the disk ID.
sudo resize2fs /dev/[DISK_ID][PARTITION_NUMBER]
where [DISK_ID] is the device name and [PARTITION_NUMBER] is the partition number for the device where you are resizing the file system.
References: https://cloud.google.com/compute/docs/disks/add-persistent-disk