Answer:
a. 18102
b. 5656
c. 6090
Explanation:
Pleaae kindly check attachment for the detailed and step by step solution of the given problem.
Answer: ....
If one load balancer fails, the secondary picks up the failure and becomes active. They have a heartbeat link between them that monitors status. If all load balancers fail (or are accidentally misconfigured), servers down-stream are knocked offline until the problem is resolved, or you manually route around them.
Explanation:
Load balancing is a technique of distributing your requests over a network when your server is maxing out the CPU or disk or database IO rate. The objective of load balancing is optimizing resource use and minimizing response time, thereby avoiding overburden of any one of the resources.
The goal of failover is the ability to continue the work of a particular network component or the whole server, by another, should the first one fail. Failover allows you to perform maintenance of individual servers or nodes, without any interruption of your services.
It is important to note that load balancing and failover systems may not be the same, but they go hand in hand in helping you achieve high availability.
Answer:
% here x and y is given which we can take as
x = 2:2:10;
y = 2:2:10;
% creating a matrix of the points
point_matrix = [x;y];
% center point of rotation which is 2,2 here
x_center_pt = x(2);
y_center_pt = y(2);
% creating a matrix of the center point
center_matrix = repmat([x_center_pt; y_center_pt], 1, length(x));
% rotation matrix with rotation degree which is 45 degree
rot_degree = pi/4;
Rotate_matrix = [cos(rot_degree) -sin(rot_degree); sin(rot_degree) cos(rot_degree)];
% shifting points for the center of rotation to be at the origin
new_matrix = point_matrix - center_matrix;
% appling rotation
new_matrix1 = Rotate_matrix*new_matrix;
Explanation:
We start the program by taking vector of the point given to us and create a matrix by adding a scaler to each units with repmat at te center point which is (2,2). Then we find the rotation matrix by taking the roatational degree which is 45 given to us. After that we shift the points to the origin and then apply rotation ans store it in a new matrix called new_matrix1.
Answer:
The correct answer to the following question is Microwave ovens.
Explanation:
Because microwave ovens and the WIFI(Wireless Fidelity) both are operated at the same frequency that is 2.4 GHz.
It is not a magic, of course, logically explainable effects the radio waves. When the devices use WiFi signals to connect to the Internet then these signals are sent with the radio waves and despite all the advanced features of wireless interference can happen.
I want to say that it is data authenticity?
