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NEW QUESTION: 1
What does Amazon SES stand for?
A. Software Enabled Server
B. Simple Elastic Server
C. Software Email Solution
D. Simple Email Service
Answer: D
Explanation:
Explanation
Amazon SES stands for Simple Email Service.
Amazon SES is an email platform that provides an easy, cost-effective way for you to send and receive email using your own email addresses and domains. For example, you can send marketing emails such as special offers, transactional emails such as order confirmations, and other types of correspondence such as newsletters. When you use Amazon SES to receive mail, you can develop software solutions such as email autoresponders, email unsubscribe systems, and applications that generate customer support tickets from incoming emails.
References:

NEW QUESTION: 2
オンプレミスで実行されるレガシーアプリケーションでは、ソリューションアーキテクトがファイアウォールを開いて複数のAmazon S3バケットへのアクセスを許可できる必要があります。アーキテクトは、AWSへのVPN接続を確立しています。アーキテクトはこの要件をどのように満たすべきですか?
A. 顧客のゲートウェイでIPホワイトリストを構成する
B. Amazon API Gatewayを使用してIPホワイトリストを作成します。
C. Amazon EC2でプロキシを設定し、Amazon S3 VPCエンドポイントを使用します。
D. 企業ネットワークからAmazon S3へのアクセスを許可する1AMロールを作成します
Answer: C

NEW QUESTION: 3
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

NEW QUESTION: 4
During a cluster split which log file, on each node, does the cluster update?
A. /ifs/data/Isilon_Support
B. /var/crash
C. /var/log/messages
D. /var/journal
Answer: C

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