Answer:
be clearer. your question doesn't seem to be presented well
Answer:
Explanation:
The following code is written in Java. It creates the Bug class with the position and direction variables. Then it creates a constructor, move method, turn method, and getPosition method. Finally, a bug object called bugsy is created in the main method, and we move it once to the right, then again to the right, and then we turn it and move it 5 times to the left, printing out the position when it is done moving. Output can be seen in the attached picture below.
class Brainly {
public static void main(String[] args) {
Bug bugsy = new Bug(10);
bugsy.move();
System.out.println("Current bug position: " + bugsy.getPosition());
bugsy.move();
System.out.println("Current bug position: " + bugsy.getPosition());
bugsy.turn();
bugsy.move();
bugsy.move();
bugsy.move();
bugsy.move();
bugsy.move();
System.out.println("Current bug position: " + bugsy.getPosition());
}
}
class Bug {
char direction = 'r';
int position = 0;
public Bug(int initialPosition) {
this.position = initialPosition;
}
public void turn() {
if (this.direction == 'r') {
this.direction = 'l';
} else {
this.direction = 'r';
}
}
public void move() {
if (this.direction == 'r') {
this.position += 1;
} else {
this.position -= 1;
}
}
public int getPosition() {
return this.position;
}
}
Waveform Audio (.wav) is a common file format. Created by Microsoft and IBM, WAV was one of the first audio file types developed for the PC. WAV files are defined as lossless, meaning that files are large and complete; nothing has been lost.
your answer will be
<h2>
<em><u>C; image</u></em></h2>
Answer:
C.<em> improve data quality and reduce redundancies, reduce increased and staggering storage management costs</em>
<em></em>
Explanation:
Excess data retention can lead to retention of redundant and irrelevant data, which can reduce data handling and processing efficiency, while at the same time increasing the cost of data storage and management. This can be curbed be reducing data to the right size by using data governance techniques like data cleansing and de-duplication