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NEW QUESTION: 1
Linux上のAppServiceにWebアプリをデプロイすることを計画しています。 AppServiceプランを作成します。 Webアプリを含むカスタムDockerイメージを作成してAzureContainerRegistryにプッシュします。
コンテナ内から生成されたコンソールログにリアルタイムでアクセスする必要があります。
Azure CLIコマンドをどのように完了する必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：正しい選択はそれぞれ1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: config
To Configure logging for a web app use the command:
az webapp log config
Box 2: --docker-container-logging
Syntax include:
az webapp log config [--docker-container-logging {filesystem, off}]
Box 3: webapp
To download a web app's log history as a zip file use the command:
az webapp log download
Box 4: download
References:
https://docs.microsoft.com/en-us/cli/azure/webapp/log

NEW QUESTION: 2
メディア広告会社は、200を超えるWebサイトからリアルタイムで送信された多数のリアルタイムメッセージを処理します。処理遅延は低く抑える必要があります。計算に基づいて、60の共有Amazon Kinesisストリームは、トラフィックが急増した場合でも、最大データスループットを処理するのに十分です。また、Auto Scalingグループが管理するAmazon Elastic Compute Cloud（EC2）で実行されるAmazon Kinesis Client Library（KCL）アプリケーションも使用しています。 Amazon CloudWatchは、平均25％のCPUと、実行中のすべてのサーバーにわたる適度なレベルのネットワークトラフィックを示しています。
同社は、ピーク時にAmazon kinesisからのメッセージを処理するレイテンシーが150％から200％増加すると報告しています。 Amazon Kinesisに公開するサイトからの遅延の報告はありません。
遅延に対処するための適切なソリューションは何ですか？
A. Auto Scalingグループのインスタンスの最小数を増やします
B. チェックポイント設定テーブルのAmazon DynamoDBスループットを増加させる
C. Amazon EC2インスタンスのサイズを作成して、ネットワークスループットを向上させます
D. Amazon Kinesisストリームの共有数を80に増やして同時実行性を高めます
Answer: B
Explanation:
説明
https://docs.aws.amazon.com/streams/latest/dev/kinesis-record-processor-ddb.html

NEW QUESTION: 3
구매 요구 사항을 구현해야 합니다.
당신은 무엇을 해야 합니까?
A. Speech Service API를 사용하여 사용자의 음성과 Bot Framework REST API 대화 작업을 보내어 인 텐트를 인식합니다.
B. Bot FrameworkREST API 첨부 작업을 사용하여 사용자의 음성을 보내고 Speech Service API는 인 텐트를 인식합니다.
C. 직접 REST API를 사용하여 사용자의 음성을 보내고 Speech Service API를 사용하여 인 텐트를 인식합니다.
D. Bot Framework REST API 대화 작업을 사용하여 사용자의 음성을 보내고 Speech Service API는 인 텐트를 인식합니다.
Answer: D
Explanation:
Explanation
Scenario: Enable users to place an order for delivery or pickup by using their voice.
You must develop a chatbot by using the Bot Builder SDK and Language Understanding Intelligence Service (LUIS). The chatbot must allow users to order food for pickup or delivery.
The Bot Framework REST APIs enable you to build bots that exchange messages with channels configured in the Bot Framework Portal, store and retrieve state data, and connect your own client applications to your bots.
All Bot Framework services use industry-standard REST and JSON over HTTPS.
The Speech Service API is used to recognize intents.
References:
https://docs.microsoft.com/en-us/azure/bot-service/rest-api/bot-framework-rest-connector-concepts?view=azure-
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-recognize-intents-from-speech-