<span>NCP are protocols that are used for establishing PPP sessions. </span>During the establishment of a PPP connection that will use the IPv4 network layer protocol the following options are negotiated: the algorithm to compress TCP and IP headers and the IPv4 address used for routing IP over the PPP link.
A functional dependency describes a relationship between the attributes of an entity such that the value of one attribute is dependent on the value of some other attribute and is very well affected by it.
There can be various sources of information that define functional dependency. For instance, an attribute age can define the functional dependency with the attribute ID. One cannot include the voter ID if they are not above 18 years of age.
Similarly, the attribute date of joining can define the functional dependency with the attribute experience, as the experience in a particular organization can be calculated by subtracting the joining date fro the current date.
Answer:
Question is incomplete. it needs a topology diagram and also it needs Router R1 table. I assume User has access to the topology and Routing table.
Below Configuration will help to fix ACL problem
Hosts from the 172.16.0.0/16 network should have full access to Server1, Server2 and Server3 but this is not currently the case, as L1 can’t communicate to Server2 or Server3.
Explanation:
Following Configuration on Cisco Router R1 will help to fix all the ACL problems.
enable
configure terminal
no ip access-list standard FROM_10
ip access-list standard FROM_10
deny host 10.0.0.2
permit any
exit
!
no ip access-list standard FROM_172
ip access-list standard FROM_172
permit host 172.16.0.2
exit
!
interface GigabitEthernet0/0
ip access-group FROM_192 out
end
write memory
!
Answer:
im pretty sure it MM/DD/YYYY
Explanation:
Answer:
The answer is nearest-neighbor learning.
because nearest neighbor learning is classification algorithm.
It is used to identify the sample points that are separated into different classes and to predict that the new sample point belongs to which class.
it classify the new sample point based on the distance.
for example if there are two sample points say square and circle and we assume some center point initially for square and circle and all the other points are added to the either square or circle cluster based on the distance between sample point and center point.
while the goal of decision tree is to predict the value of the target variable by learning some rules that are inferred from the features.
In decision tree training data set is given and we need to predict output of the target variable.
Explanation:
