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NEW QUESTION: 1
Amazon EC2は何を提供しますか？
A. 物理的なコンピューティング環境
B. コードを実行するためのプラットフォーム（Java、PHP、Python）、1時間ごとに支払う
C. 仮想サーバーホスティング
D. ドメインネームシステム（DNS）
Answer: C
Explanation:
Amazon EC2は仮想サーバーホスティングを提供します。
参照：http://aws.amazon.com/ec2/

NEW QUESTION: 2
You need to resolve the log capacity issue.
What should you do?
A. Set a LogCategoryFilter during startup.
B. Change the minimum log level in the host.json file for the function.
C. Implement Application Insights Sampling.
D. Create an Application Insights Telemetry Filter.
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.

NEW QUESTION: 3
会社のデータエンジニアリングソリューションを設計します。
オンプレミスのSQL Serverデータを、Extract-Transform-Load（ETL）操作を実行するAzureソリューションに統合する必要があります。次の要件があります。
*データを統合してノートブックを実行できるパイプラインを開発します。
*データを変換するノートブックを開発します。
*後で分析するために、データを超並列処理データベースにロードします。
ソリューションを推奨する必要があります。
何をお勧めしますか？ 回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。


Answer:
Explanation: