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NEW QUESTION: 1
For CloudlVS 3000, What Is core benefit for Multiple Algorithm Warehouse
A. Unified API for VMS, once Integration, always online
B. Unified data format (Image and structured data), data could not be Invalid even change to other algorithm vendor
C. GPU Resource scheduling, decoupling with hardware
D. Can accommodate different kinds of algorithms to provide more solutions to customer
Answer: D

NEW QUESTION: 2
Does ESX support both unidirectional and bidirectional CHAP authentication?
A. No
B. Yes
Answer: A
Explanation:
Yes, only unidirectional CHAP authentication is supported. Bi-directional involves both the host and the target, which would put additional overhead on the ESX server.

NEW QUESTION: 3
Azure Machine Learningワークスペースから実行される実験を取得するコードを記述します。
この実行では、Azure Machine Learningのモデル解釈サポートを使用して、モデルの説明を生成およびアップロードしました。
組織のビジネスマネージャーは、モデルの機能の重要性を確認したいと考えています。
次のような出力で、モデルの機能とそれらの相対的な重要性を印刷する必要があります。

どのようにコードを完成させる必要がありますか？回答するには、回答領域で適切なオプションを選択します。
注：それぞれの正しい選択は1ポイントの価値があります。

Answer:
Explanation:

Explanation:
Box 1: from_run_id
from_run_id(workspace, experiment_name, run_id)
Create the client with factory method given a run ID.
Returns an instance of the ExplanationClient.
Parameters
* Workspace Workspace An object that represents a workspace.
* experiment_name str The name of an experiment.
* run_id str A GUID that represents a run.
Box 2: list_model_explanations
list_model_explanations returns a dictionary of metadata for all model explanations available.
Returns
A dictionary of explanation metadata such as id, data type, explanation method, model type, and upload time, sorted by upload time Box 3: explanation Reference:
https://docs.microsoft.com/en-us/python/api/azureml-contrib-interpret/azureml.contrib.interpret.explanation.explanation_client.explanationclient?view=azure-ml-py