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NEW QUESTION: 1
You are designing an HTML5 website. You need to design the interface to make the content of the web page viewable in all types of browsers, including voice recognition software, screen readers, and reading pens. What should you do? (Each correct answer presents a complete solution. Choose all that apply.)
A. Annotate HTML5 content elements with Accessible Rich Internet Application (ARIA) attributes.
B. Use Resource Description Framework (RDF) to describe content elements throughout the entire page.
C. Convert HTML forms to XForms.
D. Ensure that HTML5 content elements have valid and descriptive names.
E. Use HTML5 semantic markup elements to enhance the pages.
Answer: A,D,E

NEW QUESTION: 2
What is the name of the JSON object that can be used to store data across multiple interactions with an IBM Watson Conversation dialog flow?
A. node
B. output
C. context
D. module
Answer: C

NEW QUESTION: 3
사진 공유 및 출판 회사는 매일 10,000-150,000 개의 이미지를 받습니다. 회사는 여러 공급 업체 및 서비스에 등록 된 사용자로부터 이미지를 받습니다. 회사는 AWS로 전환하고 Amazon Rekongnition을 사용하여 데이터를 추가하여 기존 메타 데이터를 풍부하게 하려고 합니다.
다음은 추가 데이터의 예입니다.
[파리의 에펠 탑 예] 근처 [행복, 슬픈] [색상]을 착용 한 유명 인사 목록 [클라우드 마이그레이션 프로그램의 일환으로 회사는 기존 이미지 데이터를 Amazon S3에 업로드하고 사용자에게 이미지 업로드를 요청했습니다. 아마존에 직접.
솔루션 아키텍처는 이러한 요구 사항을 지원하기 위해 무엇을 해야 합니까?
A. S3 이벤트 알림을 기반으로 AWS Lambda를 트리거하여 Amazon Rekognition을 사용하여 추가 메타 데이터를 생성합니다. 'Amazon DynamoDB를 사용하여 메타 데이터를 저장하고 Amazon ES를 사용하여 색인을 만듭니다. 웹 프론트 엔드를 사용하여 Amazon ES에서 지원하는 검색 기능을 제공하십시오.
B. S3 이벤트 통지에 기반한 AWS Lambda 트리거 Amazon Rekognition을 사용하여 추가 메타 데이터 생성 Amazon RDS를 사용하여 MySQL Multi-AZ를 사용하여 메타 데이터 정보를 저장하고 람다를 사용하여 색인 생성 색인을 생성하는 검색 기능을 갖춘 웹 프론트 엔드를 사용하십시오. 람다
C. Amazon Kinesis를 사용하여 S3 이벤트를 기반으로 데이터를 스트리밍 합니다. Amazon EC2에서 실행되는 응용 프로그램을 사용하여 이미지에서 메타 데이터를 추출하십시오. 그런 다음 Amazon DynamoDB 및 Amazon CloudSearch에 데이터를 저장하고 색인을 만듭니다. CloudSearch를 지원하는 기능으로 웹 프론트 엔드를 사용하십시오.
D. S3 이벤트 알림을 기반으로 Amazon SQS 대기열을 시작합니다. 그런 다음 Amazon SQS에서 Amazon DynamoDB로 메타 데이터 정보를 보냅니다. API를 사용하여 Amazon Rekongnition의 Amazon EC2 데이터에있는 애플리케이션으로 Dynamo 및 Amazon ES에 데이터를 추가합니다. 웹 프론트 엔드를 사용하여 Amazon ES에서 지원하는 검색 기능을 제공하십시오.
Answer: D