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NEW QUESTION: 1
To media exchange layer, which of the following statement is correct? (Please choose 2 answers)
A. It achieves uses' interaction between the video systems.
B. It is made up by the MCU and voice gateways.
C. It is responsible for call processing, signal processing and QoS policy control and so on.
D. It takes charge of Video switching, Audio mixing, Data processing, Terminal Access, Signaling exchange and so on.
Answer: B,D
NEW QUESTION: 2
Which isn't an option for setting a security predicate for a dataset created from an external data file?
A. In the metadata file associated with the external data file using the rowLevelSecurityFilter key
B. In the Register transformation node of a dataflow that uses this dataset
C. On each row prior to upload
D. In the dataset Security Predicate
Answer: C
NEW QUESTION: 3
When using a Sequential File stage as a source what are the two reject mode property options? (Choose two.)
A. Convert
B. Fail
C. Set
D. Continue
E. Save
Answer: B,D
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. データセットに変換
B. SVMLightに変換
C. ARFFに変換
D. CSVに変換
Answer: C
Explanation:
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
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Feedbacks
Aalk - 2014-05-05 16:45:18
Plato - 2014-05-05 16:45:51
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Eleanore - 2014-09-28 16:36:48