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NEW QUESTION: 1
How long can a client expect an HP POS solution to last?
A. 11 to 15 years
B. 3 to 5 years
C. 6 to 10 years
D. 1 to 3 years
Answer: B

NEW QUESTION: 2
One of the instances in your Auto Scaling group health check returns the status of Impaired to Auto Scaling.
What will Auto Scaling do in this case.
A. Wait for the instance to become healthy before sending traffic
B. Send an SNS notification
C. Terminate the instance and launch a new instance
D. Perform a health check until cool down before declaring that the instance has failed
Answer: C
Explanation:
Explanation
Auto Scaling periodically performs health checks on the instances in your Auto Scaling group and identifies any instances that are unhealthy. You can configure Auto Scaling to determine the health status of an instance using Amazon EC2 status checks. Clastic Load Balancing health checks, or custom health checks By default. Auto Scaling health checks use the results of the CC2 status checks to determine the health status of an instance. Auto Scaling marks an instance as unhealthy if its instance fails one or more of the status checks.
For more information monitoring in Autoscaling, please visit the below URL:
* http://docs.aws.a
mazon.com/autoscaling/latest/userguide/as-mon itoring-features.html

NEW QUESTION: 3
조직이 레거시 시스템에서 전사적 자원 관리 (ERP) 시스템으로 마이그레이션하고 있습니다. 데이터 마이그레이션 활동을 검토하는 동안 IS 감사인의 가장 중요한 관심사는 다음과 같은 사항을 확인하는 것입니다.
A. 두 시스템간에 마이그레이션 된 데이터의 산술 특성 상관 관계.
B. 두 시스템 간의 프로세스의 상대적 효율성.
C. 두 시스템 간의 프로세스의 기능적 특성의 상관 관계.
D. 두 시스템간에 마이그레이션 된 데이터의 의미 론적 특성의 상관 관계.
Answer: D
Explanation:
설명:
두 시스템이 데이터베이스 스키마를 포함하여 다른 데이터 표현을 가질 수 있기 때문에 IS 감사인의 주된 관심사는 데이터의 해석이 이전 시스템과 동일하게 새로운 것으로 검증되어야합니다. 산술 특성은 데이터베이스의 데이터 구조와 내부 정의 측면을 나타내므로 의미 론적 특성보다 중요하지 않습니다. 두 시스템 간의 기능적 특성의 상관 관계 또는 프로세스의 상대적 효율성 검토는 데이터 마이그레이션 검토와 관련이 없습니다.