Answer:
URI is the uniform resource identifier and it is basically a sequence of the character which identify the physical and logical resources. The uniform resource identifier basically contain the predefined set of rules and syntax and also maintain the extensibility hierarchical schema.
There are basically two types of URI that are:
1) Uniform Resource Name (URN)
2) Uniform Resource Locator (URL)
For example: HTTP protocol , file transfer protocol (FTP).
Answer:
"Network layer" is the correct answer to the given question .
Explanation:
The network layer is interconnected with different networks by providing permission to the network. This job is done by sending the packets in the network. The main aim of the network layer is to provide the logical addressing, routing, and fragmentation of packets.
The network layer is the layer of the OSI model whose primary function is moving the packets or datagrams in the internetwork which is connected by the routers.
Answer:
208.91. 197.27 and 50.225.
Explanation:
In the world of computers, the term "IP" stands for Internet Protocol. The IP address or the Internet Protocol address is defined as a numerical label that is provided to every device which is connected to any computer network for communication. It works as providing the location address of the device and also identifies the network interface.
The primary IP addresses for the DNS servers that is hosted on :
-- x128bit is 208.91. 197.27
-- iskytap is 208.91. 197.27
-- cloudparadox is 50.225.
Answer:
The option B is correct. Filter the data of employees with more than five years of experience.
Explanation:
Filter is a feature in spreadsheets which let you see the data required to see based on some condition. Only the filtered data is shown and other is skipped for current view. So if there is any column in spreadsheet for employees experience than filter it with the selecting the filter to more than five years. Less than five and 5 option will be unchecked and other remain checked.
I hope it will help you!
Answer:
import numpy as np
def sample_median(n, P):
return np.median( np.random.choice ( np.arange (1, len(P) + 1 ), n, p = P ) )
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(10,[0.1 0.2 0.1 0.3 0.1 0.2]))
print(sample_median(5, [0.3,0.7])
print(sample_median(5, [0.3,0.7])
Explanation:
- Bring in the numpy library to use the median function provided by the numpy library.
- Define the sample_median function that takes in 2 parameters and returns the median with the help of built-in random, choice and arrange functions.
- Call the sample_median function by providing some values to test and then display the results.
Output:
4.5
4.0
2.0
1.0
