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NEW QUESTION: 1
You are developing a Windows Presentation Foundation (WPF) application by using
Microsoft Visual Studio 2010.
While testing the application, you discover that a control is not positioned properly within a
canvas.
You need to view the Dependency properties of the control at run time. Which tool should you use?
A. Watch List
B. WPF Tree Visualizer
C. Locals List
D. Disassembly Window
Answer: B

NEW QUESTION: 2
사진 공유 및 출판 회사는 매일 10,000 ~ 150,000 개의 이미지를 받습니다. 회사는 서비스에 등록 된 여러 공급 업체 및 사용자로부터 이미지를 받습니다. 이 회사는 AWS로 이전 중이며 Amazon Rekognition을 사용하여 데이터를 추가하여 기존 메타 데이터를 보강하려고 합니다.
다음은 추가 데이터의 예입니다.

클라우드 마이그레이션 프로그램의 일환으로 이 회사는 기존 이미지 데이터를 Amazon S3에 업로드하고 사용자에게 Amazon S3에 직접 이미지를 업로드 하도록 지시했습니다.
이러한 요구 사항을 지원하기 위해 Solutions Architect는 무엇을 해야 합니까?
A. Amazon Kinesis를 사용하여 S3 이벤트를 기반으로 데이터를 스트리밍합니다. Amazon EC2에서 실행되는 애플리케이션을 사용하여 이미지에서 메타 데이터를 추출합니다. 그런 다음 Amazon DynamoDB 및 Amazon CloudSearch에 데이터를 저장하고 인덱스를 생성합니다. CloudSearch가 지원하는 검색 기능이있는 웹 프런트 엔드를 사용합니다.
B. S3 이벤트 알림을 기반으로 AWS Lambda를 트리거하여 Amazon Rekognition을 사용하여 추가 메타 데이터를 생성합니다. Amazon DynamoDB를 사용하여 메타 데이터를 저장하고 Amazon ES를 사용하여 인덱스를 생성합니다. 웹 프런트 엔드를 사용하여 Amazon ES에서 지원하는 검색 기능을 제공합니다.
C. S3 이벤트 알림을 기반으로 AWS Lambda를 트리거하여 Amazon Rekognition을 사용하여 추가 메타 데이터를 생성합니다. Amazon RDS MySQL 다중 AZ를 사용하여 메타 데이터 정보를 저장하고 Lambda를 사용하여 인덱스를 생성합니다. Lambda에서 지원하는 검색 기능이있는 웹 프런트 엔드를 사용합니다.
https://github.com/aws-samples/lambda-refarch-imagerecognition
D. S3 이벤트 알림을 기반으로 Amazon SQS 대기열을 시작합니다. 그런 다음 Amazon SQS가 메타 데이터 정보를 Amazon DynamoDB로 보내도록 합니다. Amazon EC2에서 실행되는 애플리케이션은 API를 사용하여 Amazon Rekognition에서 데이터를 추출하고 DynamoDB 및 Amazon ES에 데이터를 추가합니다. 웹 프런트 엔드를 사용하여 Amazon ES에서 지원하는 검색 기능을 제공합니다.
Answer: B

NEW QUESTION: 3
機能領域はどのように原価センタに割り当てられますか？
A. 割り当てられた原価センタカテゴリを介して
B. 割り当てられた部門を通じて
C. 原価センタマスタ再コードへの直接割当による
D. 割り当てられた事業領域を通じて
Answer: C