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NEW QUESTION: 1
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: 2
The following are configuration details for a three-node vSAN cluster:
Each host has two disk groups and each disk group has 7x1.2TB 10K SAS drives.

Each host has 16.8TB of raw capacity and the three-node cluster has 50.4TB of raw capacity.

Deduplication and compression are not enabled.

Based on the following FTT Values in the storage policy, what is the total usable capacity?

A. Cannot be calculated until vSAN datastore is online.
B.
C.
D.
Answer: D

NEW QUESTION: 3
한 회사에서 Amazon EMR 플랫폼에 대한 비용 인식을 개선하려고 합니다. 회사는 각 팀의 Amazon EMR 사용에 대한 예산을 할당했습니다. 예산 임계 값에 도달하면 이메일로 예산 사무소의 배포 목록으로 알림을 보내야 합니다. 팀은 현재까지의 EMR 클러스터 비용을 볼 수 있어야 합니다. 솔루션 아키텍트는 다중 계정 환경에서 정책이 사전에 중앙에서 시행되도록 하는 솔루션을 만들어야 합니다.
솔루션 아키텍트는 이러한 요구 사항을 충족하기 위해 어떤 단계 조합을 취해야 합니까? (2 개 선택)
A. 결제를 위한 Amazon CloudWatch 지표를 생성합니다. 비용이 예산 기준을 초과하면 맞춤 알림을 만듭니다.
B. Amazon EMR 사용을 위한 Amazon CloudWatch 대시 보드 구현
C. NotificationsWithSubscribers 속성이 있는 AWS :: Budgets :: Budget :: resource를 포함하도록 AWS ClouddFormation 템플릿을 업데이트 합니다.
D. 각 팀을위한 AWS 서비스 카탈로그 포트폴리오를 생성합니다. 각 팀의 Amazon EMR 클러스터를 서비스 카탈로그 포트폴리오에 제품으로 AWS Cloud Formation 템플릿으로 추가합니다.
E. 시작시 실행되는 EMR 부트 스트랩 작업을 생성하여 비용 탐색기 API를 호출하여 GetCostForecast 및 NotificationsWithSubscribers 작업으로 클러스터에 예산을 설정합니다.
Answer: A,B