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NEW QUESTION: 1
____는 오픈 소스 프로젝트이며 클러스터 및 그리드를 모니터링하고 성능에 미치는 영향을 최소화하도록 설계된 확장 가능한 분산 시스템입니다.
정답을 선택하십시오.
A. 하이브
B. Ganglia
C. 돼지
D. 스파크
Answer: B
Explanation:
설명:
Ganglia 오픈 소스 프로젝트는 클러스터 및 그리드를 모니터링하고 성능에 미치는 영향을 최소화하도록 설계된 확장 가능한 분산 시스템입니다. 클러스터에서 Ganglia를 활성화하면 개별 노드 인스턴스의 성능을 검사 할뿐만 아니라 보고서를 생성하고 클러스터의 성능을 볼 수 있습니다. Ganglia는 또한 Hadoop 및 Spark 측정 항목을 수집하고 시각화하도록 구성됩니다. Ganglia 오픈 소스 프로젝트에 대한 더 자세한 정보는 다음으로 이동하십시오.
http://ganglia.info/.
참고:
http://docs.aws.amazon.com/emr/latest/ReleaseGuide/emr-ganglia.html

NEW QUESTION: 2
What is the function of standard switches?
A. They prefer port mirroring for virtual machines in the same port group
B. They switch traffic between virtual machines in other port groups
C. They perform port mirroring simultaneously for virtual machines in all port groups
D. They switch traffic internally between virtual machines in the same port group
Answer: D

NEW QUESTION: 3
Company is developing a gene reporting device that will collect genomic information to assist researchers with collecting large samples of data from a diverse population. The device will push 8 KB of genomic data every second to a data platform that will need to process and analyze the data and provide Information back to researchers. The data platform must meet the following requirements:
*Provide near-real-time analytics of the inbound genomic data
*Ensure the data is flexible, parallel, and durable
*Deliver results of processing to a data warehouse
Which strategy should a solutions architect use to meet these requirements?
A. Use Amazon S3 to collect the inbound device data, analyze the data from Amazon SOS with Kinesis, and save the results to an Amazon Redshift cluster.
B. Use Amazon Kinesis Data Firehose to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon RDS instance.
C. Use an Amazon API Gateway to put requests into an Amazon SQS queue, analyze the data with an AWS Lambda function, and save the results to an Amazon Redshift cluster using Amazon EMR.
D. Use Amazon Kinesis Data Streams to collect the inbound sensor data, analyze the data with Kinesis clients, and save the results to an Amazon Redshift duster using Amazon EMR
Answer: D