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NEW QUESTION: 1
ネットワークエンジニアが、カテゴリ5eで配線されている既存の建物にAP 3800およびmGigスイッチを取り付けます。
どのケーブル長で5G動作が可能ですか？
A. 150メートル
B. 70m
C. 120メートル
D. 130m
Answer: B

NEW QUESTION: 2
5つの言語をサポートするボットを作成する予定です。ボットは、3つの異なる国にいるユーザーによって使用されます。ボットは、一般的な顧客の質問に答えます。ボットは、言語理解（LUIS）を使用して、使用するスキルを識別し、顧客の言語を検出します。
計画されたボット用に作成する必要があるAzureリソースの最小数を特定する必要があります。
QnA Maker、LUIS、および言語検出のインスタンスをいくつ作成する必要がありますか？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:

Explanation:
QnA Maker: 5
If the user plans to support multiple languages, they need to have a new QnA Maker resource for each language.
LUIS: 5
If you need a multi-language LUIS client application such as a chatbot, you have a few options. If LUIS supports all the languages, you develop a LUIS app for each language. Each LUIS app has a unique app ID, and endpoint log. If you need to provide language understanding for a language LUIS does not support, you can use Microsoft Translator API to translate the utterance into a supported language, submit the utterance to the LUIS endpoint, and receive the resulting scores.
Language detection: 1
The Language Detection feature of the Azure Text Analytics REST API evaluates text input for each document and returns language identifiers with a score that indicates the strength of the analysis.
This capability is useful for content stores that collect arbitrary text, where language is unknown. You can parse the results of this analysis to determine which language is used in the input document. The response also returns a score that reflects the confidence of the model. The score value is between 0 and 1.
The Language Detection feature can detect a wide range of languages, variants, dialects, and some regional or cultural languages. The exact list of languages for this feature isn't published.
References:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-language-support
https://docs.microsoft.com/en-us/azure/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection

NEW QUESTION: 3
-32 + 7 equals:
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: B
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 4
インターネット上の購読しているユーザーに配信したいプライベートビデオコンテンツがS3にあります。
ユーザーID、認証情報、およびサブスクリプションは、Amazon RDSデータベースに保存されています。
どの設定を使用すると、プライベートコンテンツを安全にユーザーに提供できますか？
A. 保護されたS3コンテンツへのアクセスを要求したときに、各ユーザーの署名付きURLを生成します。
B. あなたのプライベートコンテンツへのアクセスを、購読しているユーザーの資格情報のみに制限するS3バケットポリシーを作成します。
C. 購読しているユーザーごとにIAMユーザーを作成し、各IAMユーザーにGetObject権限を割り当てます。
D. 登録ユーザーのCloudFront Origin Identityユーザーを作成し、このユーザーにGetObject権限を割り当てます
Answer: A
Explanation:
http://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/PrivateContent.html
「ユーザーがCloudFrontを介してアクセスできるが、Amazon S3 URLを使用して直接アクセスすることができないように、Amazon S3バケット内のコンテンツを任意で保護することができます。この手順では署名付きURLを使用する必要はありませんが、推奨します "