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NEW QUESTION: 1
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. ARFFに変換
C. SVMLightに変換
D. データセットに変換
Answer: B
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
NEW QUESTION: 2
Which three of the following statements about positions are true?
A. A position can be designated a lead position
B. One position is always associated with only one user
C. A position does not have to be associated with an organization unit
D. One position is always associated with only one job
E. Positions are placeholders for users in the organization structure
F. One position can be associated with multiple jobs
Answer: A,D,E
NEW QUESTION: 3
Enabling DHCP Snooping feature avoids Bogus DHCP Server attacks. Which of the following statements is correct?
A. Untrusted mode interface receives a DHCP Relay packets will all be discarded.
B. Trusted DHCP Relay interface to receive packets, and can only be checked by DHCP Snooping through.
C. Connect the user interface to configure the firewall to be trusted.
D. DHCP Server firewall connection to untrusted interface configuration mode.
Answer: A
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