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NEW QUESTION: 1
To perform management activities, each domain requires its own
A. Configuration Wizard
B. Administration Server
C. Ant Task
D. Node Server
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. ISDN BRI
B. Secondary T1 WAN circuit
C. DWDM l
D. IPSec Tunnel over the Internet
E. POTS Line T1 WAN
Answer: B,D
NEW QUESTION: 3
Which of the following statements about OTN advantages is incorrect?
A. The WDM function is used to meet the requirement for Tbit/s bandwidth per fiber.
B. OTN provides powerful outband FEC functions to effectively guarantee the line transmission performance.
C. OTN provides 2.7 Gbit/s, 10.7 Gbit/s, 43 Gbit/s, and even 111.8 Gbit/s high-rate interfaces.
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)