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NEW QUESTION: 1
You have a Web.config file that contains the following markup.
You need to use an XSLT transformation to remove the add tag for Key3.
Which markup should you use?
A. <add xdt:Transform="Remove" />
B. <add key="Key3" xdt:Transform="Remove"
xdt:Locator="Match(/configuration/appSettings/add[@key='Key3'])"/>
C. <add key="Key3" xdt:Transform="Remove" xdt:Locator="Match(key)" />
D. <add key="Key3" xdt: Transform="Remove" />
Answer: C
Explanation:
References: https://msdn.microsoft.com/en-us/library/dd465326(v=vs.110).aspx
NEW QUESTION: 2
You have a document that you update regularly. To access it directly from a/an:
A. library.
B. folder.
C. icon.
D. shortcut.
Answer: D
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 3
귀사는 생체 인식 정보를 수집하는 차세대 애완용 칼라를 개발하는 과정에 있으며, 애완 동물의 건강한 라이프 스타일을 홍보하는 데 도움이 됩니다. 각 고리는 2 초마다 30KB의 생체 인식 데이터를 JSON 형식으로 2 초마다 집계하여 웹 포털을 통해 애완 동물 소유자 및 수의사에게 건강 추세 정보를 제공하는 데이터를 처리 및 분석합니다. 경영진은 수집 플랫폼을 설계하여 다음 요구 사항이 충족되는지 확인해야 합니다.
* 인바운드 생체 인식 데이터의 실시간 분석 기능 제공
* 생체 인식 데이터의 처리가 매우 내구성이 있음을 보장합니다. 탄성 및 평행
* 데이터 마이닝을 위해 분석 처리 결과가 지속되어야합니다. 아래에 설명 된 아키텍처가 수집 플랫폼의 초기 요구 사항을 충족합니까?
A. Amazon Kinesis를 활용하여 인바운드 센서 데이터를 수집하고 Kinesis 클라이언트로 데이터를 분석 한 다음 EMR을 사용하여 Redshift 클러스터에 결과를 저장합니다.
B. EMR을 사용하여 인바운드 센서 데이터를 수집하고 Amazon Kinesis를 통해 EUR의 데이터를 분석 한 다음 결과를 DynamoDB에 저장하십시오.
C. 인바운드 센서 데이터를 수집하기 위해 S3를 활용하여 매일 예정된 데이터 파이프 라인을 사용하여 S3에서 데이터를 분석하고 그 결과를 Redshift Cluster에 저장하십시오.
D. SQS를 사용하여 인바운드 센서 데이터를 수집하고 Amazon Kinesis로 SQS의 데이터를 분석 한 다음 결과를 Microsoft SQL Server RDS 인스턴스에 저장합니다.
Answer: A