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NEW QUESTION: 1
The read and write performance of RAID0 is very high, but the reliability is relatively low, and the hard disk utilization rate is not high, so it is not recommended to use alone.
A. TRUE
B. FALSE
Answer: A

NEW QUESTION: 2
다음 중 조직의 시스템 개발 및 구현 프로세스에서 제어 성숙도를 가장 잘 나타내는 것은 무엇입니까?
A. 코드 변경 사항이 테스트 서버에 배포 된 다음 프로덕션에 배포됩니다.
B. 코드 변경이 문서화되고 승인되었습니다.
C. 코드 변경은 자동화를 통해 테스트 및 배포됩니다.
D. 코드 변경 사항을 수동으로 테스트하고 배포합니다.
Answer: C

NEW QUESTION: 3
You create an experiment in Azure Machine Learning Studio. You add a training dataset that contains 10,000 rows. The first 9,000 rows represent class 0 (90 percent).
The remaining 1,000 rows represent class 1 (10 percent).
The training set is imbalances between two classes. You must increase the number of training examples for class 1 to 4,000 by using 5 data rows. You add the Synthetic Minority Oversampling Technique (SMOTE) module to the experiment.
You need to configure the module.
Which values should you use? To answer, select the appropriate options in the dialog box in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: 300
You type 300 (%), the module triples the percentage of minority cases (3000) compared to the original dataset (1000).
Box 2: 5
We should use 5 data rows.
Use the Number of nearest neighbors option to determine the size of the feature space that the SMOTE algorithm uses when in building new cases. A nearest neighbor is a row of data (a case) that is very similar to some target case. The distance between any two cases is measured by combining the weighted vectors of all features.
By increasing the number of nearest neighbors, you get features from more cases.
By keeping the number of nearest neighbors low, you use features that are more like those in the original sample.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/smote

NEW QUESTION: 4
Identify the three true statements about Dimension Associations in EPMA.
A. The Security Class dimension is associated with the Security Class property only in an Account and Entity.
B. Dimension associations are used when a property in one dimension is associated with the members in another dimension.
C. A Plug Account from the Account dimension can be associated with the Account dimension.
D. The Alias dimension is associated with the Alias property for Account, Entity, and Scenario dimensions.
E. The Currency dimension is associated with the Currency property of the Account dimension.
Answer: B,D,E

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