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Vendor: GIAC

Exam Code: GDAT Dumps

Questions and Answers: 104

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NEW QUESTION: 1
ゲーム会社は、可用性の高いアーキテクチャを設計しています。
アプリケーションは変更されたLinuxカーネルで実行され、UDPベースのトラフィックのみをサポートします。
同社は、可能な限り最高のユーザーエクスペリエンスを提供するために、フロントエンド層を必要としています。
層は、待ち時間が短く、トラフィックを最も近いエッジの場所にルーティングし、アプリケーションエンドポイントに入る可能性のある静的IPアドレスを持っている必要があります。
これらの要件を満たすために、ソリューションアーキテクトは何をすべきですか?
A. リクエストをネットワークロードバランサーに転送するようにAmazonCloudFrontを設定します。
AWS Application AutoScalingグループのアプリケーションにAWSLambdaを使用する
B. リクエストをネットワークロードバランサーに転送するようにAWS GlobalAcceleratorを設定します。
EC2 Auto ScaingグループのアプリケーションにAmazonEC2インスタンスを使用します。
C. リクエストをApplication LoadBalancerに転送するようにAmazonRoute53を設定します。
AWS Application AutoScalingのアプリケーションにはAWSLambdaを使用します。
D. リクエストをApplication LoadBalancerに転送するようにAmazonAPIGatewayを設定します。
EC2 AutoScalingグループのアプリケーションにAmazonEC2インスタンスを使用します。
Answer: C

NEW QUESTION: 2
A factory has a fixed cost of $45,000 a month, and a cost of $2.5 for every item produced. If the selling price of a single item is $5, what is the number of items must be sold monthly for the factory to cover its cost exactly?
A. 27,000
B. 9,000
C. 18,000
D. 22,500
E. 14,000
Answer: C
Explanation:
Explanation/Reference:
Explanation:
To find the number of items sold that makes the revenues equal to the cost, solve the following equation:

.

NEW QUESTION: 3
You plan to allow users from the engineering department to enroll their mobile device in mobile device management (MDM).
The device type restrictions are configured as shown in the following table.

The device limit restrictions are configured as shown in the following table.

What is the effective configuration for the members of the Engineering group? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation


NEW QUESTION: 4
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/


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