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NEW QUESTION: 1
사용자가 PIOPS를 사용하여 MySQL RDS 인스턴스를 생성했습니다. 아래 언급 된 내용 중 사용자가 PIOPS의 이점을 이해하는 데 도움이되는 내용은 무엇입니까?
A. 사용자는 향상된 RDS 옵션으로 EBS I / O 전용 용량을 추가로 확보 할 수 있습니다
B. EBS와 RDS 간의 전용 네트워크 대역폭을 제공합니다
C. 최적화 된 EBS 볼륨과 최적화 된 구성 스택을 사용합니다.
D. 스택 구성을 최적화 한 표준 EBS 볼륨을 사용합니다.
Answer: C
Explanation:
Explanation
RDS DB instance storage comes in two types: standard and provisioned IOPS. Standard storage is allocated on the Amazon EBS volumes and connected to the user's DB instance. Provisioned IOPS uses optimized EBS volumes and an optimized configuration stack. It provides additional, dedicated capacity for the EBS I/O.
http://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/Welcome.html

NEW QUESTION: 2
Amazon EC2 관리자는 여러 사용자를 포함하는 IAM 그룹과 관련된 다음 정책을 만들었습니다.

이 정책의 효과는 무엇입니까?
A. 사용자의 소스 IP가 10.100 인 경우 us-east-1 리전에서 EC2 인스턴스를 종료 할 수 없습니다.
100. 254
B. 사용자는 us-east-1을 제외한 모든 AWS 리전에서 EC2 인스턴스를 종료 할 수 있습니다.
C. 사용자의 소스 IP가 다음 인 경우 사용자는 us-east-1 리전에서 EC2 인스턴스를 종료 할 수 있습니다
10.100.100.254
D. 사용자는 IP 주소 10.100으로 EC2 인스턴스를 종료 할 수 있습니다. us-east-1 지역의 1001
Answer: A

NEW QUESTION: 3
You are creating a classification model for a banking company to identify possible instances of credit card fraud. You plan to create the model in Azure Machine Learning by using automated machine learning.
The training dataset that you are using is highly unbalanced.
You need to evaluate the classification model.
Which primary metric should you use?
A. accuracy
B. normalized_root_mean_squared_error
C. AUC.weighted
D. [spearman_correlation
E. normalized_mean_absolute_error
Answer: C
Explanation:
AUC_weighted is a Classification metric.
Note: AUC is the Area under the Receiver Operating Characteristic Curve. Weighted is the arithmetic mean of the score for each class, weighted by the number of true instances in each class.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml