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NEW QUESTION: 1
ASP . NETコアWebアプリケーションを開発しています。アプリケーションは、安全なエリアのみ認証ユーザーにアクセス可能です。
アプリケーションは：
* リバースプロキシと同じサーバに存在します。
* キャッシュして静的コンテンツを提供するリバースプロキシを使用します。
* セキュアエリアの基本認証を使用します。
* セキュア領域のHTTPSプロトコルを使用します。
* すべての非安全なコンテンツのためにHTTPSプロトコルを使用します。
アプリケーションを配備する必要があります。
どの2つのアクションを実行する必要がありますか？それぞれの正しい答えは、ソリューションの一部を示します。
注：それぞれの正しい選択は1点の価値がある。
A. Use the ForwardedHeaders middleware from Microsoft.AspNetCore.HttpOverrides.
B. Use Kestrel as the web server for the application and Nginx on Linux as the reverse proxy.
C. Use Http.sys as the web server for the application and Apache on Linux as the reverse proxy.
D. Use the RewriteMiddleware from Microsoft AspNetCore.Rewrite.
Answer: B,D
Explanation:
References:
https://docs.microsoft.com/en-us/aspnet/core/fundamentals/url-rewriting?view=aspnetcore-2.1
https://docs.microsoft.com/en-us/aspnet/core/fundamentals/servers/kestrel?view=aspnetcore-2.1
NEW QUESTION: 2
A systems administrator receives an advisory email that a recently discovered exploit is being used in another country and the financial institutions have ceased operations while they find a way to respond to the attack.
Which of the following BEST describes where the administrator should look to find information on the attack to determine if a response must be prepared for the systems? (Choose two.)
A. CVE database
B. Hacker forums
C. Bug bounty websites
D. Company's legal department
E. Antivirus vendor websites
F. Trade industry association websites
Answer: A,D
NEW QUESTION: 3
群衆感情モデルの評価戦略を定義する必要があります。
順番に実行する必要がある3つのアクションはどれですか？回答するには、適切なアクションをアクションのリストから回答エリアに移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation:
Step 1: Define a cross-entropy function activation
When using a neural network to perform classification and prediction, it is usually better to use cross-entropy error than classification error, and somewhat better to use cross-entropy error than mean squared error to evaluate the quality of the neural network.
Step 2: Add cost functions for each target state.
Step 3: Evaluated the distance error metric.
References:
https://www.analyticsvidhya.com/blog/2018/04/fundamentals-deep-learning-regularization-techniques/