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NEW QUESTION: 1
Welche der folgenden Möglichkeiten ist für ein Unternehmen, das die Lohn- und Gehaltsabrechnung auslagert, der BESTE, um sicherzustellen, dass nur autorisierte Mitarbeiter bezahlt werden?
A. Elektronische Abrechnungsberichte sollten unabhängig überprüft werden.
B. Mitarbeiter sollten Gehaltsabrechnungen erhalten, aus denen das Bruttolohn und das Nettolohn hervorgehen. und Abzüge.
C. Nur Mitarbeiter der Personalabrechnung sollten das Kennwort für die Dateneingabe und das Abrufen von Berichten erhalten.
D. Die Bankabstimmungen des Unternehmens sollten unabhängig vorbereitet und überprüft werden.
Answer: D
NEW QUESTION: 2
조직이 AWS에서 웹 사이트를 설정하고 있습니다. 조직은 AWS EC2 인스턴스에서 수행 할 다양한 보안 조치를 취하고 있습니다. 아래에서 언급 한 보안 메커니즘 중 어느 것이 미래의 데이터 누출을 방지하고 보안 취약점을 식별하는데 도움이 되지 않습니까?
A. Amazon의 사전 승인을 받아 AWS에서 침투 테스트를 실행하십시오.
B. 메모리 누수가 있는지 코드 검사를 수행합니다.
C. 응용 프로그램 테스트를 위해 SQL 주입을 수행합니다.
D. AWS 인스턴스에 대한 강화 테스트를 수행합니다.
Answer: B
Explanation:
설명:
AWS 보안은 사용자가 Amazon만큼 책임이있는 공유 보안 모델을 따릅니다. 아마존은 퍼블릭 클라우드이기 때문에 해커들의 표적이 될 수 밖에 없습니다. 조직에서 AWS EC2에서 애플리케이션을 호스팅하려는 경우 보안 취약성 / 데이터 유출을 찾기위한 조치로 다음과 같은 보안 검사를 수행해야합니다.
공격자가 수행 한 침투 테스트를 수행하여 취약점을 찾습니다. 조직은 침투 테스트를 수행하기 전에 AWS로부터 승인을 받아야합니다 불필요한 포트가 열려 있는지 확인하기 위해 테스트 강화 수행 DB 보안 문제를 찾기 위해 SQL 주입 수행 조직이 애플리케이션 성능을 향상시키고 자 할 때 코드 메모리 검사가 일반적으로 유용합니다.
http://aws.amazon.com/security/penetration-testing/
NEW QUESTION: 3
ユーザーのあいさつの問題をデバッグする必要があります。
あなたは何を使うべきですか？
A. Azure Application Insights
B. Bot Framework Channel Inspector
C. Azureコンポートエミュレータ
D. Bot Framework Emulator
E. Bot Connectorサービス
Answer: A
NEW QUESTION: 4
Your company is currently setting up data pipelines for their campaign. For all the Google Cloud Pub/Sub streaming data, one of the important business requirements is to be able to periodically identify the inputs and their timings during their campaign. Engineers have decided to use windowing and transformation in Google Cloud Dataflow for this purpose. However, when testing this feature, they find that the Cloud Dataflow job fails for the all streaming insert. What is the most likely cause of this problem?
A. They have not assigned the timestamp, which causes the job to fail
B. They have not applied a non-global windowing function, which causes the job to fail when the pipeline is created
C. They have not applied a global windowing function, which causes the job to fail when the pipeline is created
D. They have not set the triggers to accommodate the data coming in late, which causes the job to fail
Answer: B