At the end of this case study a review screen will

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At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the
exam. After you begin a new section, you cannot return to this section. To start the case study - To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. When you are ready to answer a question, click the Question button to return to the question. Background - You are a developer for Proseware, Inc. You are developing an application that applies a set of governance policies for Prosewareג€™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 PolicyLib 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 Machine Learning model. The model is deployed 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.
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