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NEW QUESTION: 1
일부 파일은 입력으로 가져 와서 분석하고 각 파일마다 출력에 일부 데이터를 텍스트 파일에 기록하는 주기적 이미지 분석 애플리케이션이 있습니다. 하루에 입력되는 파일수는 많고 하루 중 몇 시간에 집중됩니다.
현재 입력 데이터와 결과를 호스팅하는 EBS 볼륨이 큰 EC2에 서버가 있습니다. 프로세스를 완료하는데 하루에 거의 20 시간이 걸립니다.
정교화 시간을 줄이고 솔루션의 가용성을 향상시키기 위해 어떤 서비스를 사용할수 있습니까?
A. I / O 파일을 저장하는 S3, 병렬로 작업하는 호스트 그룹에 정교화 명령을 배포하는 SNS, SNS 알림 수에 따라 호스트 그룹의 크기를 동적으로 조정하는 Auto Scaling.
B. I / O 파일을 저장하기 위한 PIOPS (Provisioned IOPS)가있는 EBS, 병렬로 작업하는 호스트 그룹에 정교화 명령을 배포하는 SQS. SQS 대기열 길이에 따라 호스트 그룹의 크기를 동적으로 조정하는 Auto Scaling
C. I / O 파일을 저장하는 S3, 병렬로 작업하는 호스트 그룹에 정교화 명령을 배포하는 SQS, SQS 대기열의 길이에 따라 호스트 그룹의 크기를 동적으로 조정하는 Auto Scaling.
D. I / O 파일을 저장하는 PIOPS (Provisioned IOPS)가있는 EBS, 병렬로 작업하는 호스트 그룹에 정교화 명령을 배포하는 SNS, SNS 알림 수에 따라 호스트 그룹의 크기를 동적으로 조정하는 Auto Scaling.
Answer: C
Explanation:
SNS doesn't allow you to distribute tasks between group of hosts. It allows you sending notification but how do you decide which host will handle it?
Also PIOPS is good for performance but not for availability which this task is asking about.
There is no problem in using S3 as there is no frequently changing data, you process the file and write the result once and don't change it later.

NEW QUESTION: 2
Your company is planning to migrate their on-premises Hadoop environment to the cloud. Increasing storage cost and maintenance of data stored in HDFS is a major concern for your company. You also want to make minimal changes to existing data analytics jobs and existing architecture. How should you proceed with the migration?
A. Migrate your data stored in Hadoop to BigQuery. Change your jobs to source their information from BigQuery instead of the on-premises Hadoop environment.
B. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop code objects to the new cluster. Move your data to Cloud Storage and leverage the Cloud Dataproc connector to run jobs on that data.
C. Create Compute Engine instances with HDD instead of SSD to save costs. Then perform a full migration of your existing environment into the new one in Compute Engine instances.
D. Create a Cloud Dataproc cluster on Google Cloud Platform, and then migrate your Hadoop environment to the new Cloud Dataproc cluster. Move your HDFS data into larger HDD disks to save on storage costs.
Answer: B

NEW QUESTION: 3

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