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NEW QUESTION: 1
Which of the following debagging tasks are supported in SAP cloud Applications Studio?
NOTE: There are 2 correct answers to this question.
A. Start and stop debugging.
B. Switch to remote debugging.
C. Step through the code.
D. Install additional debuggers.
Answer: A,C
NEW QUESTION: 2
Hinweis: Diese Frage ist Teil einer Reihe von Fragen, die dasselbe Szenario darstellen. Jede Frage in der Reihe enthält eine einzigartige Lösung, die die angegebenen Ziele erreichen kann. Einige Fragensätze haben möglicherweise mehr als eine richtige Lösung, während andere möglicherweise keine richtige Lösung haben.
Nachdem Sie eine Frage in diesem Abschnitt beantwortet haben, können Sie NICHT mehr darauf zurückkommen. Infolgedessen werden diese Fragen nicht im Überprüfungsbildschirm angezeigt.
Ihr Netzwerk enthält eine Active Directory-Domäne. Die Domäne enthält Mitgliedscomputer, auf denen Windows 8.1 ausgeführt wird und die bei Microsoft Intune registriert sind.
Sie müssen ermitteln, welche Computer auf Windows 10 aktualisiert werden können.
Lösung: Unter Windows auf dem Geräte-Blade des Microsoft Endpoint Manager-Verwaltungscenters erstellen Sie einen Filter und exportieren die Ergebnisse als CSV-Datei.
Erfüllt dies das Ziel?
A. Nein
B. Ja
Answer: A
NEW QUESTION: 3
최근 한 스타트 업 회사가 대규모 전자 상거래 웹 사이트를 AWS로 마이그레이션 했습니다. 웹 사이트 매출이 70 % 증가했습니다. 소프트웨어 엔지니어는 비공개 GitHub 저장소를 사용하여 코드를 관리하고 있습니다. 개발 팀은 빌드 및 단위 테스트에 Jenkins를 사용하고 있습니다. 엔지니어는 배포 중 다운 타임없이 잘못된 빌드에 대한 알림을 받아야 합니다. 또한 엔지니어는 생산에 대한 모든 변경 사항이 사용자에게 원활하고 중대한 문제가 발생할 경우 롤백 할 수 있는지 확인해야 합니다.
소프트웨어 엔지니어는 AWS CodePipline을 사용하여 빌드 및 배포 프로세스를 관리하기로 결정했습니다.
이러한 요구 사항을 충족하는 솔루션은 무엇입니까?
A. Use GitHub webhooks to trigger the CodePipeline pipeline. Use AWS X-Ray for unit testing and static code analysis. Send alerts to an Amazon SNS topic for any had builds Deploy in an in-place, all-at-once deployment configuration using AWS CodeDeploy.
B. GitHub 웹훅을 사용하여 CodePipeline 파이프 라인 트리거 AWS CodeBuild 용 Jenkins 플러그인을 사용하여 단위 테스트를 수행합니다. 잘못된 빌드에 대해 Amazon SNS 주제에 알림을 보냅니다. AWS CodeDeploy를 사용하여 블루 / 그린 배포로 배포합니다.
C. GitHub 웹 소켓을 사용하여 CodePipelin 파이프 라인을 트리거합니다. 단위 테스트 및 정적 코드 분석에 AWS X-Ray를 사용하십시오. Send alerts to an Amazon SNS topic for any bad builds Deploy in a blue/green deployment using AWS CodeDeploy.
D. GitHub 웹 소켓을 사용하여 CodePipeline 파이프 라인을 트리거합니다. AWS CodeBuild 용 Jenkins 플러그인을 사용하여 단위 테스트를 수행합니다. 잘못된 빌드에 대한 경고를 Amazon SNS 주제로 전송합니다. AWS CodeDeploy를 사용하여 한 번에 전체 배포 구성으로 배포합니다.
Answer: B
NEW QUESTION: 4
The following data can be used to determine the Putaway Control Indicator:
There are 4 correct answers to this question.
Response:
A. Storage requirement data
B. Product data
C. Packaging data
D. Sales data
E. Demand forecasts
Answer: A,B,C,E
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