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NEW QUESTION: 1
For this question, refer to the Mountkirk Games case study.
Mountkirk Games wants to set up a continuous delivery pipeline. Their architecture includes many small services that they want to be able to update and roll back quickly.
Mountkirk Games has the following requirements:
* Services are deployed redundantly across multiple regions in the US and Europe.
* Only frontend services are exposed on the public internet.
* They can provide a single frontend IP for their fleet of services.
* Deployment artifacts are immutable.
Which set of products should they use?
A. Google Cloud Storage, Google Cloud Dataflow, Google Compute Engine
B. Google Container Registry, Google Container Engine, Google HTTP(s) Load Balancer
C. Google Cloud Functions, Google Cloud Pub/Sub, Google Cloud Deployment Manager
D. Google Cloud Storage, Google App Engine, Google Network Load Balancer
Answer: B
Explanation:
https://cloud.google.com/load-balancing/
https://cloud.google.com/solutions/ansible-with-spinnaker-tutorial
http://blog.armory.io/what-is-immutable-infrastructure/
https://cloud.google.com/compute/docs/load-balancing/http/

NEW QUESTION: 2
애플리케이션은 처리를 위해 Amazon SQS 대기열을 전송 메커니즘으로 사용하여 EC2 인스턴스 그룹에 데이터를 전달합니다. 애플리케이션 소유자는 EC2 인스턴스에서 애플리케이션 코드를 수정하지 않고 수신 데이터를 아카이브하는 메커니즘을 추가하려고 합니다.
처리 인스턴스를 수정하지 않고 데이터를 아카이브하도록이 애플리케이션을 어떻게 다시 설계 할 수 있습니까?
A. Amazon SNS 주제를 사용하여 S3 버킷에 데이터를 기록하는 Lambda 함수 외에 SQS 대기열에 데이터를 팬 아웃합니다.
B. Amazon CloudWatch Events를 사용하여 SQS 대기열에서 메시지를 검색하고 Amazon S3에 보관하여 Lambda 함수를 트리거합니다.
C. 여러 인스턴스가 데이터를 수신 할 수 있도록 Amazon Kinesis Data Stream을 설정하십시오. 수신 한 모든 데이터를 보관하도록 구성된 별도의 EC2 인스턴스를 추가하십시오.
D. S3 버킷에 데이터를 쓰고 S3 이벤트 알림에 SQS 대기열을 사용하여 인스턴스에 데이터를 검색 할 위치를 알려줍니다.
Answer: A
Explanation:
https://docs.aws.amazon.com/cognito/latest/developerguide/synchronizing-data.html

NEW QUESTION: 3
DRAG DROP
Match each HPE ProLiant server to its correct definition.
Select and Place:

Answer:
Explanation: