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NEW QUESTION: 1
多国籍企業のネットワークエンジニアは、海外を頻繁に旅行する上級管理職向けに携帯電話を購入するよう求められています。 幹部らは、旅行の際に複数の国の携帯電話会社と自分の携帯電話が連携することを望んでいます。 次の携帯電話規格のうちどれがこれらの新しい携帯電話をサポートする必要がありますか？
A. GSM
B. PSTN
C. CDMA
D. TDM
Answer: A

NEW QUESTION: 2
Which permission allows an administrator to share new launch definitions with other users?
A. Workspace Administration Mode
B. Launch Administration Mode
C. Workspace Author Mode
D. Launch Application Activation Mode
Answer: A

NEW QUESTION: 3
You have a model with a large difference between the training and validation error values.
You must create a new model and perform cross-validation.
You need to identify a parameter set for the new model using Azure Machine Learning Studio.
Which module you should use for each step? To answer, drag the appropriate modules to the correct steps. Each module may be used once or more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation:
Box 1: Split data
Box 2: Partition and Sample
Box 3: Two-Class Boosted Decision Tree
Box 4: Tune Model Hyperparameters
Integrated train and tune: You configure a set of parameters to use, and then let the module iterate over multiple combinations, measuring accuracy until it finds a "best" model. With most learner modules, you can choose which parameters should be changed during the training process, and which should remain fixed.
We recommend that you use Cross-Validate Model to establish the goodness of the model given the specified parameters. Use Tune Model Hyperparameters to identify the optimal parameters.
References:
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample