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NEW QUESTION: 1
Which Layer 2 security setting do you use for users who complete the on-boarding process in a dual SSID deployment?
A. EAP-TLS
B. EAP-MD5
C. WPA2
D. WPA+WPA2
Answer: D

NEW QUESTION: 2
開発チームとの毎日のスクラムの後、Blue / Greenスタイルのデプロイメントを使用することがチームに利益をもたらすことに同意しました。
この新しい要件を実現するには、どの手法を使用する必要がありますか？
A. アプリケーションをAWS Elastic Beanstalkに再デプロイし、Elastic Beanstalkデプロイメントタイプを利用します。
B. Auto Scalingグループを使用するロードバランサーの背後でアプリケーションを再デプロイし、同一の新しいAuto Scalingグループを作成して、それをロードバランサーに関連付けます。デプロイ中に、古いAuto Scalingグループで必要なインスタンス数をゼロに設定し、すべてのインスタンスが終了したら、古いAuto Scalingグループを削除します。
C. AWS CloudFormationテンプレートを使用して、ロードバランサーの背後にアプリケーションを再デプロイし、各デプロイ中に新しいAWS CloudFormationスタックを起動します。検証中に、テスト中にロードバランサーを更新してトラフィックの半分を新しいスタックに送信します。ロードバランサーがトラフィックの100％を新しいスタックに送信し、古いスタックを終了します。
D. AWS OpsWorksスタックを使用して、Elastic Load Balancingロードバランサーの背後でアプリケーションを再デプロイし、OpsWorksスタックのバージョニングを利用します。デプロイメント中に、アプリケーションの新しいバージョンを作成し、OpsWorksにロードの背後で新しいバージョンを起動するように指示しますバランサー。新しいバージョンが起動したら、古いOpsWorksスタックを終了します。
Answer: B

NEW QUESTION: 3
Your company plans to deploy several apps that will use Azure Cognitive Services APIs.
You need to recommend which Cognitive Services APIs must be used to meet the following requirements:
* Must be able to identify inappropriate text and profanities in multiple languages.
* Must be able to interpret user requests sent by using text input.
* Must be able to identify named entities in text.
Which API should you recommend for each requirement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: Content Moderator
The Azure Content Moderator API is a cognitive service that checks text, image, and video content for material that is potentially offensive, risky, or otherwise undesirable. When such material is found, the service applies appropriate labels (flags) to the content. Your app can then handle flagged content in order to comply with regulations or maintain the intended environment for users.
Box 2: Language Understanding (LUIS)
Designed to identify valuable information in conversations, LUIS interprets user goals (intents) and distills valuable information from sentences (entities), for a high quality, nuanced language model. LUIS integrates seamlessly with the Azure Bot Service, making it easy to create a sophisticated bot.
Box 3: Text Analytics
The Text Analytics API is a cloud-based service that provides advanced natural language processing over raw text, and includes four main functions: sentiment analysis, key phrase extraction, named entity recognition, and language detection.
References:
https://docs.microsoft.com/bs-latn-ba/azure/cognitive-services/content-moderator/overview
https://www.luis.ai/home
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/

NEW QUESTION: 4
ホットスポット
次の展示に示す構成を持つVNet1という名前の仮想ネットワークがあります。

ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。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。ホットエリア：

Answer:
Explanation: