<span>The person or persons requesting the worksheet should supply their requirements in a requirements document. </span>
Answer
The answer and procedures of the exercise are attached in the following archives.
Step-by-step explanation:
You will find the procedures, formulas or necessary explanations in the archive attached below. If you have any question ask and I will aclare your doubts kindly.
Answer:
Please the code snippet below, the code was writen in Kotlin Language
Explanation:
const val inches:Int= 12 . //This is the const value
fun main(args: Array<String>) {
//this will ask the user for input
print("Enter a number")
//this will do the conversion
var valueInFeet= Integer.valueOf(readLine())*inches
print("The value in feet is $valueInFeet feet(s)")
}
In this question, we are given
,
-
A certain list, L, contains a total of n numbers, not necessarily distinct, that are arranged in increasing order.
- L1 is the list consisting of the first n1 numbers in L.
- L2 is the list consisting of the last n2 numbers in L.
Explanation:
As per the information given in statement 1, 17 is a mode for L1 and 17 is a mode for L2.
Therefore, we can infer that
,
- 17 must occur in L1, either same or a greater number of times as any other number in L1.
- 17 must occur in L1, either same or a greater number of times as any other number in L2.
As all elements in L are in ascending order, we can also conclude that
-
Each number between last occurrence of 17 in L1 and the first occurrence of 17 in L2 must be equal to 17 only.
- Therefore, 17 occurs either same or greater number of times as any other number in L.
- Thus, 17 is a mode for L.
However, from this statement, we cannot conclude anything about the mode of L1, L2, or L.
Hence, statement 2 is not sufficient to answer the question.
Therefore, 17 is a mode for L1 and 17 is a mode for L2.
Answer: Server are optimized so that they can work efficiently and improve their performance while working. Application server optimization mechanism can be used for optimizing the server with respect to the application.
Some of the techniques used in the application server optimization are as follows:-
- Load balancing- which helps in upgrading throughput ,improves the time of response, enhance the bandwidth of network etc.
- Fail-over management- it is used for decrement of latency, balancing the server, increasing the availability of network and it resources etc.
