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NEW QUESTION: 1
Sie haben eine virtuelle Azure-Maschine mit dem Namen VM1.
Die Netzwerkschnittstelle für VM1 ist wie in der Abbildung gezeigt konfiguriert. (Klicken Sie auf die Registerkarte "Ausstellen".) Sie stellen einen Webserver auf VM1 bereit und erstellen dann eine sichere Website, auf die mithilfe des HTTPS-Protokolls zugegriffen werden kann. VM1 wird nur als Webserver verwendet.

Sie müssen sicherstellen, dass Benutzer über das Internet eine Verbindung zur Website herstellen können.
Was sollte man tun?
A. Erstellen Sie eine neue eingehende Regel, die das TCP-Protokoll 443 zulässt, und konfigurieren Sie das Protokoll so, dass es eine Priorität von hat
501.
B. Regel1 löschen.
C. Ändern Sie das Protokoll von Regel 4.
D. Ändern Sie für Regel 5 die Aktion in Zulassen und die Priorität in 401.
Answer: D
Explanation:
Explanation
Rule 2 is blocking HTTPS access (port 443) and has a priority of 500.
Changing Rule 5 (ports 50-5000) and giving it a lower priority number will allow access on port 443.
Note: Rules are processed in priority order, with lower numbers processed before higher numbers, because lower numbers have higher priority. Once traffic matches a rule, processing stops.
References:
https://docs.microsoft.com/en-us/azure/virtual-network/security-overview

NEW QUESTION: 2

A. Virtual MAC Address
B. VLAN Group Numbers that are greater than 255
C. Tracking
D. Preemption
Answer: B

NEW QUESTION: 3
대형 디지털 비디오 파일을 저장하고 기존 비즈니스 인텔리전스 도구를 사용하여 모든 데이터를 효율적으로 분석하는 데 필요한 간단하고 비용 효율적인 빠르고 완전하게 관리되는 데이터웨어 하우스 서비스가 필요합니다. 어떻게 구성해야 합니까? 정답을 선택하십시오.
A. Amazon S3에 데이터를 저장하고 Amazon Redshift에서 해당 위치를 참조하십시오. Amazon Redshift는 이진 객체에 대한 메타 데이터를 추적하지만 큰 객체 자체는 Amazon S3에 저장됩니다.
B. Amazon DynamoDB에 데이터를 저장하고 Amazon Redshift에서 해당 위치를 참조하십시오. Amazon Redshift는 비디오 파일에 대한 메타 데이터를 추적하지만 비디오 파일 자체는 Amazon S3에 저장됩니다.
C. Amazon Redshift에 데이터를 저장하면 Redshift는 바이너리 개체에 대한 메타 데이터를 추적합니다.
D. Amazon S3에 데이터를 저장하고 Amazon EMR에서 해당 위치를 참조하십시오. Amazon EMR은 비디오 파일에 대한 메타 데이터를 추적하지만 비디오 파일 자체는 Amazon S3에 저장됩니다.
Answer: A
Explanation:
BLOB data ?If you plan on storing large binary files (such as digital video, images, or music), you may want to consider storing the data in Amazon S3 and referencing its location in Amazon Redshift. In this scenario, Amazon Redshift keeps track of metadata (such as item name, size, date created, owner, location, and so on) about your binary objects, but the large objects themselves would be stored in Amazon S3.
Reference:
https://d0.awsstatic.com/whitepapers/Big_Data_Analytics_Options_on_AWS.pdf