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NEW QUESTION: 1
Which two protocoln are uned to entablinh IPv6 connectivity over an MPLS network? (Choone two.)
A. 6VPE
B. ISATAP
C. RSVP
D. 6PE
E. LDP
F. IPv6IP
Answer: A,D

NEW QUESTION: 2
Your network contains an Active Directory domain named contoso.com. The domain contains two servers named Server1 and Server2 that run Windows Server 2016. The servers have the same hardware configuration.
You need to asynchronously replicate volume F: from Server1 to Server2.
What should you do?
A. Install the Failover Clustering feature and create a new cluster resource group.
B. Run New-SRPartnership and specify the -ReplicationMode parameter.
C. Run Set-DfsrServiceConfiguration and specify the -RPCPort parameter.
D. Install the Failover Clustering feature and use Cluster Shared Volumes (CSV).
Answer: B
Explanation:
Explanation/Reference:
Explanation:

-ReplicationMode
Specifies the desired mode of replication for this source and destination pair. The acceptable values for this parameter are:
Synchronous or 1. The synchronous mode requires all writes to commit on the destination server and

on the source server, which guarantees data integrity between computers.
Asynchronous or 2. The asynchronous mode writes to the source server without waiting for the

destination server, which allows for replication over high latency, geographic networks. The default value is synchronous.
The default asynchronous recovery point alert time is 5 minutes. You can modify it by using the SetSRPartnership cmdlet. The alert time has no effect on replication behavior, only on reporting.
References:
https://docs.microsoft.com/en-us/powershell/module/storagereplica/new-srpartnership?view=win10-ps
https://msandbu.wordpress.com/2016/05/13/getting-started-with-storage-replica-in-windows-server-2016/
https://www.starwindsoftware.com/blog/how-to-configure-storage-replication-using-windows-server-2016- part-1

NEW QUESTION: 3
Given the following choices, what is the optimal capital structure for Chip Co.? (Assume that the company's growth rate is 2 percent.) Debt Ratio
Dividends
Per Share ($)
Cost of Equity
0%5.5011.5%
256.0012.0
406.5013.0
507.0014.0
757.5015.0
A. 75% debt; 25% equity
B. 50% debt; 50% equity
C. 25% debt; 75% equity
D. 40% debt; 60% equity
E. 0% debt; 100% equity
Answer: C
Explanation:
Explanation/Reference:
Explanation:
First, calculate the stock price for each debt level using the dividend growth model, Po = D1/(ks - g).
Debt Div/share ksPo
0%$5.5011.5% $5.50/(0.115 - 0.02) = $57.89.
25%6.0012%$6.00/(0.12 - 0.02) = $60.00.
40%6.5013%$6.50/(0.13 - 0.02) = $59.09.
50%7.0014%$7.00/(0.14 - 0.02) = $58.33.
75%7.5015%$7.50/(0.15 - 0.02) = $57.69.
Clearly, $60.00 is the highest price, so 25% debt and 75% equity is the optimal capital structure.

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) Incorrect Answers: ..SGD..
Scenario: All penalty detection models show inference phases using a Stochastic Gradient Descent (SGD) are running too slow.
Box 4: .. nn.parallel.DistributedDataParallel..
DistributedSampler(Sampler): The sampler that restricts data loading to a subset of the dataset.
It is especially useful in conjunction with :class:`torch.nn.parallel.DistributedDataParallel`.
References:
https://github.com/pytorch/pytorch/blob/master/torch/utils/data/distributed.py