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NEW QUESTION: 1

A. DROP EmployeeView
B. DELETE VIEW EmployeeView
C. DROP VIEW EmployeeView
D. DELETE EmployeeView
Answer: C

NEW QUESTION: 2
The wrong understanding of the data Pang cluster model is.
A. Asynchronous database, the node that accepts the request after the database client sends a data update request immediately returns the result to the client, and the updated data will be copied and transmitted to other nodes in the cluster at a certain time.
B. The two key points of using data linking are: 1. has two or more database server groups, 2. can provide transparent services
C. Synchronize the database. After the database client sends a data update request, the node that accepts the request will copy the updated data to other nodes in the cluster while returning the results to the client.
D. Database cluster contains two models: synchronous cluster and asynchronous cluster
Answer: C

NEW QUESTION: 3
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)

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