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NEW QUESTION: 1
Refer to the exhibit.

Assume that the serial interface link bandwidth is full T1. What is the maximum amount of bandwidth allowed for
priority queuing of RTP packets with a DSCP value of EF?
A. 5% of 1.544 Mb/s
B. 38% of 1.544 Mb/s
C. 62% of 1.544 Mb/s
D. 0% of 1.544 Mb/s
E. 33% of 1.544 Mb/s
Answer: D
Explanation:
Since the use of the "priority" keyword was not used in this example 0% is the correct answer.

NEW QUESTION: 2
あなたは、長時間実行されているデータの処理動作を起動するTask.Run（）方法を使用します。データ処理操作は、多くの場合、大量のネットワーク輻輳時に失敗します。
データ処理操作が失敗した場合、第2の動作は、最初の操作のいずれかの結果をクリーンアップする必要があります。
あなたは、データ処理活動がならされてない例外を投げる場合だけ、2回目の活動が実施されることを確実とする必要があります。
あなたは、何をするべきですか?
A. Create a TaskCompletionSource<T> object and call the TrySetException() method of the object.
B. Examine the Task.Status property immediately after the call to the Task.Run() method.
C. Create a task inside the existing Task.Run() method by using the AttachedToParent option.
D. Create a task by calling the Task.ContinueWith() method.
Answer: D
Explanation:
Task.ContinueWith - Creates a continuation that executes asynchronously when the target Task completes.The returned Task will not be scheduled for execution until the current task has completed, whether it completes due to running to completion successfully, faulting due to an unhandled exception, or exiting out early due to being canceled.
http://msdn.microsoft.com/en-us/library/dd270696.aspx

NEW QUESTION: 3
You need to resolve the log capacity issue.
What should you do?
A. Create an Application Insights Telemetry Filter.
B. Set a LogCategoryFilter during startup.
C. Implement Application Insights Sampling.
D. Change the minimum log level in the host.json file for the function.
Answer: C
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.