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NEW QUESTION: 1
회사는 컨테이너화 된 배치 작업을 Amazon ECS에서 실행합니다. 컨테이너 이미지, 작업 정의 및 관련 데이터를 Amazon S3 버킷에 제출하여 작업을 예약합니다. 컨테이너 이미지는 작업마다 고유 할 수 있습니다. 가능한 빨리 작업을 실행하는 것이 가장 중요하므로 S3 버킷에 작업 아티팩트를 제출하면 작업이 즉시 실행됩니다. 때로는 실행중인 작업이 없을 수도 있습니다. 그러나 모든 규모의 작업은 사전 경고없이 IT 운영 팀에 제출할 수 있습니다. 작업 정의에는 CPU 및 메모리 리소스 요구 사항이 포함됩니다.
배치 작업을 예약 한 후 가능한 빨리 완료 할 수있는 솔루션은 무엇입니까?
A. EC2 인스턴스에서 직접 작업을 예약하십시오. 기준 최소로드에 예약 인스턴스를 사용하고, Auto Scaling 그룹의 온 디맨드 인스턴스를 사용하여 요구에 따라 플랫폼을 확장하십시오.
B. Fargate 시작 유형을 사용하여 Amazon ECS 클러스터에서 작업을 예약합니다. Service Auto Scaling을 사용하여 실행중인 작업 수에 맞게 실행중인 작업 수를 늘리거나 줄입니다.
C. Amazon EC2 시작 유형을 사용하여 Amazon ECS 클러스터에서 작업을 예약합니다. Service Auto Scaling을 사용하여 실행중인 작업 수에 맞게 실행중인 작업 수를 늘리거나 줄입니다.
D. Fargate 시작 유형을 사용하여 Amazon ECS 클러스터에서 작업을 예약합니다. Auto Scaling 그룹에서 스팟 인스턴스를 사용하여 요구에 따라 플랫폼을 확장하십시오. Service Auto Scaling을 사용하여 실행중인 작업 수에 맞게 실행중인 작업 수를 늘리거나 줄입니다.
Answer: C

NEW QUESTION: 2
What is one of the key challenges with measuring the effectiveness of software projects?
A. Unrealistic schedule expectations.
B. Cross-organizational boundaries.
C. Multiple programming languages
D. Poor market positioning.
Answer: B
Explanation:
Reference:https://jazz.net/library/content/articles/insight/performance-management.pdf(page 4, bulleted point#2)

NEW QUESTION: 3
Which tag should you use in a container-column calculation formula if the value should depend on another column's value?
A. <*CTX(myContainer....)*>
B. <*VALUE (....)*>
C. <*CTX(Container(....))*>
D. <*CTX(Product...)*>
Answer: B

NEW QUESTION: 4
In a large MapReduce job with m mappers and n reducers, how many distinct copy operations will there be in the sort/shuffle phase?
A. m
B. m+n (i.e., m plus n)
C. mXn (i.e., m multiplied by n)
D. n
E. m (i.e., m to the power of n)
n
Answer: C
Explanation:
Explanation/Reference:
A MapReduce job with m mappers and r reducers involves up to m * r distinct copy operations, since each mapper may have intermediate output going to every reducer.