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NEW QUESTION: 1
At your company you have several research projects which require separate networks in your cloud. Although the servers on these networks will require access to the rest of the company, it is not required that any of the servers deployed on these networks have static or public IP addresses. Which vCloud Networking and Security feature will allow you to reuse the same subnet/IP address range on each of these networks without causing any IP address conflicts or collisions?
A. NAT
B. VPN
C. Fencing
D. Firewall
Answer: A
NEW QUESTION: 2
スタックマスターはいつその役割を失いますか?
A. スタックメンバーの優先度の値が高い値に変更された場合
B. スタックマスターがリセットされたとき
C. スタックメンバーに障害が発生した場合
D. 優先度の高いスイッチがスタックに追加された場合
Answer: B
Explanation:
Explanation
A stack master retains its role unless one of these events occurs: + The switch stack is reset.* + The stack master is removed from the switch stack. + or powered off -> Answer C is correct.
+ The stack master fails. + The switch stack membership is increased by adding powered-on standalone switches or switch stacks.* In the events marked by an asterisk (*), the current stack master might be reelected based on the listed factors.
Reference:
https://www.cisco.com/c/en/us/td/docs/switches/lan/catalyst3650/software/release/3e/ha_stack_manager/configu
NEW QUESTION: 3
You create a multi-class image classification deep learning experiment by using the PyTorch framework. You plan to run the experiment on an Azure Compute cluster that has nodes with GPU's.
You need to define an Azure Machine Learning service pipeline to perform the monthly retraining of the image classification model. The pipeline must run with minimal cost and minimize the time required to train the model.
Which three pipeline steps should you run in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Step 1: Configure a DataTransferStep() to fetch new image data...
Step 2: Configure a PythonScriptStep() to run image_resize.y on the cpu-compute compute target.
Step 3: Configure the EstimatorStep() to run training script on the gpu_compute computer target.
The PyTorch estimator provides a simple way of launching a PyTorch training job on a compute target.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-pytorch