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NEW QUESTION: 1
展示を参照してください。

3フレームのSynergyコンポーザブルインフラストラクチャをご利用のお客様は、既存のコンポーザブルインフラストラクチャリソースプールを拡張するための2つ目のラックを受け取りました。インテグレーターは、図のように管理リングをケーブルで接続しています。
この構成の可用性を高めるためにインテグレーターが実行する必要があるステップ(2つ選択してください。)
A. 1つの管理アップリンクをラック2に移動します
B. 両方の管理アップリンクをラック2に移動します
C. Composerをラック2に移動
D. 両方のコンポーザーをラック2に移動します
E. HPE OneViewでマルチラックの高可用性を有効にします
Answer: A,D

NEW QUESTION: 2
Case Study 4: Application Scenario Application Information
You have two servers named SQL1 and SQL2. SQL1 has SQL Server 2012 Enterprise installed. SQL2 has SQL Server 2008 Standard installed. You have an application that is used to manage employees and office space. Users report that the application has many errors and is very slow. You are updating the application to resolve the issues. You plan to create a new database on SQL1 to support the application. The script that you plan to use to create the tables for the new database is shown in Tables.sql. The script that you plan to use to create the stored procedures for the new database is shown in StoredProcedures.sql. The script that you plan to use to create the indexes for the new database is shown in Indexes.sql. A database named DB2 resides on SQL2. DB2 has a table named EmployeeAudit that will audit changes to a table named Employees. A stored procedure named usp_UpdateEmployeeName will be executed only by other stored procedures. The stored procedures executing usp_UpdateEmployeeName will always handle transactions. A stored procedure named usp_SelectEmployeesByName will be used to retrieve the names of employees. Usp_SelectEmployeesByName can read uncommitted data. A stored procedure named usp_GetFutureOfficeAssignments will be used to retrieve office assignments that will occur in the future.
StoredProcedures.sql


Indexes.sql

Tables.sql

Question
You need to add a new column named Confirmed to the Employees table. The solution must meet the following requirements:
Have a default value of TRUE.
Minimize the amount of disk space used.
Which code segment should you use?
A. ALTER TABLE Employees ADD Confirmed bit DEFAULT 0;
B. ALTER TABLE Employees ADD Confirmed char(1) DEFAULT "1";
C. ALTER TABLE Employees ADD Confirmed bit DEFAULT 1;
D. ALTER TABLE Employees ADD Confirmed char(1) DEFAULT '0';
Answer: C
Explanation:
According to these references, this answer looks correct.
References: http://msdn.microsoft.com/en-us/library/ms177603.aspx http://msdn.microsoft.com/en-us/library/ms176089.aspx

NEW QUESTION: 3
미디어 회사에는 30TB의 디지털 뉴스 비디오 저장소가 있습니다. 이 비디오는 온-프레미스 테이프 라이브러리의 테이프에 저장되며 MAM (Media Asset Management) 시스템에서 참조합니다. 이 회사는 이러한 비디오의 메타 데이터를 자동화 된 방식으로 보강하고 MAM 기능을 사용하여 검색 가능한 카탈로그에 넣기를 원합니다. 회사는 비디오에서 물체, 풍경 항목 또는 사람의 얼굴과 같은 정보를 기반으로 검색 할 수 있어야 합니다. 각 사람의 이미지가 포함 된 비디오에 등장한 사람들의 얼굴이 포함 된 카탈로그를 사용할 수 있습니다. 회사는이 비디오를 AWS로 마이그레이션하려고 합니다.
이 회사는 AWS와 고속 AWS Direct Connect 연결을 가지고 있으며 MAM 솔루션 비디오 컨텐츠를 현재 파일 시스템에서 직접 이동하려고 합니다.
가장 적은 양의 지속적인 관리 오버 헤드를 사용하고 기존 시스템을 최소한으로 중단 시키면 이러한 요구 사항을 어떻게 충족시킬 수 있습니까?
A. Amazon Kinesis 비디오 스트림을 사용하여 비디오 수집 스트림을 구성하십시오. 얼굴 카탈로그를 사용하여 Amazon Rekognition에서 컬렉션을 빌드하십시오. MAM 솔루션의 비디오를 Kinesis 비디오 스트림으로 스트리밍합니다. 스트리밍 비디오를 처리하도록 Amazon Rekognition을 구성하십시오. 그런 다음 스트림 소비자를 사용하여 필요한 메타 데이터를 검색하고 메타 데이터를 MAM 솔루션으로 푸시하십시오. Amazon S3에 비디오를 저장하도록 스트림을 구성하십시오.
B. 온 프레미스 파일 게이트웨이 어플라이언스 인 AWS Storage Gateway를 설정합니다. MAM 솔루션을 사용하여 현재 아카이브에서 비디오를 추출하여 파일 게이트웨이로 푸시하십시오. 얼굴 카탈로그를 사용하여 Amazon Rekognition에서 컬렉션을 빌드하십시오. Rekognition Javascript SDK를 호출하여 Rekognition이 파일 게이트웨이를 지원하는 Amazon S3 파일에서 비디오를 가져 와서 필요한 메타 데이터를 검색하고 메타 데이터를 MAM 솔루션으로 푸시하도록 AWS Lambda 함수를 구축하십시오.
C. OpenCV 라이브러리를 실행하는 Amazon EC2 인스턴스를 설정합니다. 온 프레미스 라이브러리에서이 EC2 인스턴스에 마운트 된 Amazon EBS 볼륨으로 비디오, 이미지 및 얼굴 카탈로그를 복사하십시오.
비디오를 처리하여 필요한 메타 데이터를 검색하고 비디오 파일을 Amazon S3 버킷으로 복사하는 동안 메타 데이터를 MAM 솔루션으로 푸시하십시오.
D. 온 프레미스 테이프 게이트웨이 어플라이언스인 AWS Storage Gateway를 설정합니다. MAM 솔루션을 사용하여 현재 아카이브에서 비디오를 추출하여 테이프 게이트웨이로 푸시하십시오. 얼굴 카탈로그를 사용하여 Amazon Rekognition에서 컬렉션을 빌드하십시오. Rekognition Javascript SDK를 호출하여 Amazon Rekognition이 테이프 게이트웨이에서 비디오를 처리하고 필요한 메타 데이터를 검색한 다음 메타 데이터를 MAM 솔루션으로 푸시하도록 AWS Lambda 함수를 구축하십시오.
Answer: A
Explanation:
Explanation
https://docs.aws.amazon.com/rekognition/latest/dg/streaming-video.html