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NEW QUESTION: 1

A. Option A
B. Option C
C. Option B
D. Option D
Answer: A,B

NEW QUESTION: 2
솔루션 아키텍트가 3 계층 애플리케이션에 대한 재해 복구 전략을 설계하고 있습니다. 애플리케이션의 데이터 계층에 대한 RTO는 30 분이고 RPO는 5 분입니다. 애플리케이션 및 웹 계층은 상태 비 저장이며 Amazon EC2 인스턴스 집합을 활용합니다. 데이터 계층은 50TB Amazon Aurora 데이터베이스로 구성됩니다.
비용을 최적화하면서 RTO 및 RPO 요구 사항을 충족하는 단계 조합은 무엇입니까? (2 개 선택)
A. Aws Backup 작업을 생성하여 데이터를 다른 리전에 복제합니다.
B. 애플리케이션의 핫 스탠바이를 다른 리전에 배포합니다.
C. EC2 인스턴스의 일일 스냅 샷을 생성하고 스냅 샷을 다른 리전에 복제합니다.
D. 5 분마다 Aurora 데이터베이스의 스냅 샷을 생성합니다.
E. 데이터베이스의 교차 리전 Aurora 복제본을 생성합니다.
Answer: E

NEW QUESTION: 3
管理者は、特定のサービスのログにアクセスするためにどのコマンドを実行しますか?
A. kubectl -n prelude get pods
B. kubectl logs -n prelude <pod-name>
C. docker logs --tail
D. vracli logs -n prelude <pod-name>
Answer: D

NEW QUESTION: 4
When running a pipeline that has a BigQuery source, on your local machine, you continue to get permission denied errors. What could be the reason for that?
A. BigQuery cannot be accessed from local machines
B. Your gcloud does not have access to the BigQuery resources
C. Pipelines cannot be run locally
D. You are missing gcloud on your machine
Answer: B
Explanation:
When reading from a Dataflow source or writing to a Dataflow sink using DirectPipelineRunner, the Cloud Platform account that you configured with the gcloud executable will need access to the corresponding source/sink Reference: https://cloud.google.com/dataflow/java- sdk/JavaDoc/com/google/cloud/dataflow/sdk/runners/DirectPipelineRunner