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NEW QUESTION: 1
To perform management activities, each domain requires its own
A. Node Server
B. Administration Server
C. Configuration Wizard
D. Ant Task
Answer: B
NEW QUESTION: 2
A remote office has a T1 WAN link to headquarters and a T1 Internet connection. The client requests WAN redundancy to headquarters with similar bandwidth. What two connection types satisfy this requirement?
(Choose two.)
A. POTS Line T1 WAN
B. DWDM l
C. ISDN BRI
D. Secondary T1 WAN circuit
E. IPSec Tunnel over the Internet
Answer: D,E
NEW QUESTION: 3
Which of the following statements about OTN advantages is incorrect?
A. OTN provides powerful outband FEC functions to effectively guarantee the line transmission performance.
B. OTN provides 2.7 Gbit/s, 10.7 Gbit/s, 43 Gbit/s, and even 111.8 Gbit/s high-rate interfaces.
C. The WDM function is used to meet the requirement for Tbit/s bandwidth per fiber.
D. OTN provides a maximum of five levels of nested or overlapped TCM connection monitoring.
Answer: D
NEW QUESTION: 4
You need to use the Python language to build a sampling strategy for the global penalty detection models.
How should you complete the code segment? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: import pytorch as deeplearninglib
Box 2: ..DistributedSampler(Sampler)..
DistributedSampler(Sampler):
Sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with class:`torch.nn.parallel.DistributedDataParallel`. In such case, each process can pass a DistributedSampler instance as a DataLoader sampler, and load a subset of the original dataset that is exclusive to it.
Scenario: Sampling must guarantee mutual and collective exclusively between local and global segmentation models that share the same features.
Box 3: optimizer = deeplearninglib.train. GradientDescentOptimizer(learning_rate=0.10)