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NEW QUESTION: 1
Which metric can you use to evaluate a classification model?
A. mean absolute error (MAE)
B. coefficient of determination (R2)
C. true positive rate
D. root mean squared error (RMSE)
Answer: C
Explanation:
What does a good model look like?
An ROC curve that approaches the top left corner with 100% true positive rate and 0% false positive rate will be the best model. A random model would display as a flat line from the bottom left to the top right corner. Worse than random would dip below the y=x line.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml#classification
NEW QUESTION: 2
次の展示に示す構成を持つVNet1という名前の仮想ネットワークがあります。
ドロップダウンメニューを使用して、図に示されている情報に基づいて各ステートメントを完成させる回答の選択肢を選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
Explanation
Box 1: add an address space
Your IaaS virtual machines (VMs) and PaaS role instances in a virtual network automatically receive a private IP address from a range that you specify, based on the address space of the subnet they are connected to. We need to add the 192.168.1.0/24 address space.
Box 2: add a subnet
References:
https://docs.microsoft.com/en-us/office365/enterprise/designing-networking-for-microsoft-azure-iaas
https://docs.microsoft.com/en-us/azure/virtual-network/virtual-networks-static-private-ip-arm-pportal
NEW QUESTION: 3
How is VNX file-level storage for ESXi datastores provisioned?
A. CIFS
B. NFS v.4
C. NFS v.3
D. SMB3
Answer: C
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