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NEW QUESTION: 1
AWS Direct Connect를 시작하려면 다음 단계 중 BGP (Border Gateway Protocol)를 구성하는 단계는 무엇입니까?
A. 가상 인터페이스 생성
B. AWS Direct Connect를 사용하여 중복 연결 구성
C. 크로스 커넥트 완료
D. 라우터 구성 다운로드
Answer: A
Explanation:
Explanation
In AWS Direct Connect, your network must support Border Gateway Protocol (BGP) and BGP MD5 authentication, and you need to provide a private Autonomous System Number (ASN) for that to connect to Amazon Virtual Private Cloud (VPC). To connect to public AWS products such as Amazon EC2 and Amazon S3, you will also need to provide a public ASN that you own (preferred) or a private ASN. You have to configure BGP in the Create a Virtual Interface step.
http://docs.aws.amazon.com/directconnect/latest/UserGuide/getstarted.html#createvirtualinterface

NEW QUESTION: 2
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: 3
Which three statements are true about multiple-row subqueries?
A. They can return multiple columns as well as rows.
B. They can contain group functions and the GROUP BYclause, but not the HAVINGclause.
C. They cannot contain a subquery within a subquery.
D. They can contain group functions and GROUP BYand HAVINGclauses.
E. They can contain a subquery within a subquery.
F. They can return only one column but multiple rows.
Answer: A,D,E

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