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NEW QUESTION: 1
ホットスポットの質問
Azure StackにアップロードするLinuxイメージを準備しています。
Microsoft Azure Linuxエージェントを手動でインストールする必要があります。
python-setuptoolsをインストールします。
次にどのコマンドを実行す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:
https://docs.microsoft.com/en-us/azure/azure-stack/azure-stack-linux#prepare-your-own-image

NEW QUESTION: 2
A systems administrator is setting up a new server using RAID technology. If one hard drive in the array fails, the data is stored on another drive, preventing data loss. Which of the following business continuity concepts does this explain?
A. File backup
B. Restoring access
C. Data restoration
D. Fault tolerance
Answer: D

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

NEW QUESTION: 4
Which file should be used to store xhtml data for email notifications across more than one workflow?
A. CustomLabels.properties
B. enRoleMail.properties
C. SelfServiceUI.properties
D. tmsMessages.properties
Answer: B

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