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NEW QUESTION: 1
ワークスペース内のデータと実験を操作するには、Azure Machine Learning SDKを使用する必要があります。
Python環境からワークスペースに接続するには、config.jsonファイルを構成する必要があります。
ワークスペースに接続するために、config.jsonファイルに追加する必要がある2つの追加パラメーターはどれですか。それぞれの正解がソリューションの一部を示しています。
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。
A. 地域
B. ログイン
C. resource_group
D. キー
E. subscription_Id
Answer: C,E
Explanation:
To use the same workspace in multiple environments, create a JSON configuration file. The configuration file saves your subscription (subscription_id), resource (resource_group), and workspace name so that it can be easily loaded.
The following sample shows how to create a workspace.
from azureml.core import Workspace
ws = Workspace.create(name='myworkspace',
subscription_id='<azure-subscription-id>',
resource_group='myresourcegroup',
create_resource_group=True,
location='eastus2'
)
Reference:
https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.workspace.workspace

NEW QUESTION: 2
LAN上のHSRPルータの3つの可能なルータ状態は何ですか？ （3つを選びなさい）
A. Active
B. Idle
C. Standby
D. Backup
E. Established
F. Init
Answer: A,C,F

NEW QUESTION: 3
Through the use of decision models, managers thoroughly analyze many alternatives and decide on the best alternative for the company. Often the actual results achieved from a particular decision are not what was expected when the decision was made. In addition, an alternative that was not selected would have actually been the best decision for the company. The appropriate technique to analyze the alternatives by using expected inputs and altering them before a decision is made is:
A. Program evaluation review technique (PERT).
B. Linear programming.
C. Expected value analysis.
D. Sensitivity analysis.
Answer: D
Explanation:
After a problem has been formulated into any mathematical model, it may be subjected to sensitivity analysis. Sensitivity analysis examines how the model's outcomes change as the parameters change.