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NEW QUESTION: 1
DRAG DROP
DRAG DROP


Answer:
Explanation:

Explanation:

Graphically, MVC can be shown like on image bellow:

References: http://www.beansoftware.com/ASP.NET-Tutorials/Intro-ASP.NET-MVC.aspx

NEW QUESTION: 2
What should be verified before adding an HPE c7000 enclosure to HPE OneView?
A. Onboard Administrator firmware
B. UEFI management settings
C. iLO encryption key presence
D. Onboard Administrator stacking links
Answer: A

NEW QUESTION: 3
Eddy gave Q% of the money he earned last year to his first wife Sandra, W% of the money he earned last year went to his second wife Tawana. How much money did Eddy earn this year?
(1) Q = 20, W = 2Q.
(2) All the money Eddy earned last year went to his two wives.
A. Statement (2) BY ITSELF is sufficient to answer the question, but statement (1) by itself is not.
B. Statement (1) BY ITSELF is sufficient to answer the question, but statement (2) by itself is not.
C. Either statement BY ITSELF is sufficient to answer the question.
D. Statements (1) and (2) TAKEN TOGETHER are sufficient to answer the question, even though NEITHER statement BY ITSELF is sufficient.
E. Statements (1) and (2) TAKEN TOGETHER are NOT sufficient to answer the question, requiring more data pertaining to the problem.
Answer: E
Explanation:
Explanation/Reference:
Explanation:
From statement (1) and (2) taken together we know how much Eddy earned last year but we know Nothing about this year, we have no connections between them. Therefore, both statements are not sufficient to answer the question.

NEW QUESTION: 4
Azure Machine Learning StudioからWeka環境に大きなデータセットを移動しています。
Weka環境用にデータをフォーマットする必要があります。
どのモジュールを使用する必要がありますか？
A. CSVに変換
B. データセットに変換
C. ARFFに変換
D. SVMLightに変換
Answer: C
Explanation:
Use the Convert to ARFF module in Azure Machine Learning Studio, to convert datasets and results in Azure Machine Learning to the attribute-relation file format used by the Weka toolset. This format is known as ARFF.
The ARFF data specification for Weka supports multiple machine learning tasks, including data preprocessing, classification, and feature selection. In this format, data is organized by entites and their attributes, and is contained in a single text file.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/convert-to-arff