7. What enhancing techniques that lines the interior of drawers and boxes resulted to soft velvety finish? A. Wood Turning b. Painting c. Etching d. Flocking

d. Flocking

Explanation:

Flocking is one of the methods that is used to bring a finishing and decorative touch in the furniture. It is a process in which very fine particles are placed on the surface of the furniture to provide a texture to it. This process helps in adding a texture, providing a distinct color, and for better maintenance of the product. In the interior of the drawers and boxes, flocking is done so as to bring a soft and velvety finish.

The solution that would help the client pool their data together is a data integration solution. This type of solution allows for the collection and consolidation of data from various sources into a single, unified database. This can be achieved through a variety of methods, including Extract, Transform, Load (ETL) processes, data warehousing, and master data management. By implementing a data integration solution, the client will be able to access and analyze their data more efficiently, leading to better insights and informed decision-making.

The correct answer to the following question will be "Auto-encoder".

Explanation:

It is indeed a form of artificial neural net that utilizes in an unmonitored way to practice successful information coding.

A code in C++ follows:

Explanation:

#include<iostream>

using namespace std;

int calculate_area(int width, int length)

{

int area;

area=width*length;

return area;

}

int main()

{

int a,b,ar,c,d,ar1,n;

cout<<"\nEnter length of room:";

cin>>a;

cout<<"\nEnter width of room:";

cin>>b;

ar=calculate_area(a,b);

cout<<"\nArea of room:"<<ar<<" units";

cout<<"\nEnter length of mat:";

cin>>c;

cout<<"\nEnter width of mat:";

cin>>d;

ar1=calculate_area(c,d);

n=ar/ar1;

cout<<"\nNumber of mats required are:"<<n;

return 0;

}

boolean rsvp;

int selection;

String option1;

String option2;

(a) if(rsvp){

System.out.println("Attending");

} else {

System.out.println("Not attending");

}

(b) if (selection == 1){

System.out.println("Beef");

} else if (selection == 2){

System.out.println("Chicken");

} else if (selection == 3) {

System.out.println("Pasta");

} else {

System.out.println("Fish");

}

(c) switch(selection){

case 1:

if(rsvp){

option1 = "Thanks for attending. You will be served beef.";

} else{

option1 = "Sorry you can't make it";

}

break;

case 2:

if(rsvp){

option1 = "Thanks for attending. You will be served chicken.";

} else{

option1 = "Sorry you can't make it";

}

break;

case 3:

if(rsvp){

option1 = "Thanks for attending. You will be served pasta.";

} else{

option1 = "Sorry you can't make it";

}

break;

default:

if(rsvp){

option1 = "Thanks for attending. You will be served fish.";

} else{

option1 = "Sorry you can't make it";

}

break;

}

(d) if (option1 == option2){

System.out.println("True");

} else {

System.out.println("False");

}

Explanation:

This code snippet is written in Java.

a) Uses if statement to print "attending" if rsvp is true and "not attending" if rsvp is false.

b) Uses if-else statement to print the variety of food based on user selection. If selection is 1, it print beef. If selection is 2, it print chicken. If selection is 3, it prints pasta else it print fish for any other value of selection.

c) Uses switch statement to determine the value of selection and then uses inner if statement to assign "Thanks for attending. You will be served beef." if rsvp is true to option1. The value of beef changes depending on the value of selection. If rsvp is false, then "Sorry you can't make it." is assigned to option1.

d) Uses if statement to print true if option1 and option2 are equal else it print false.

I think that 3 would be the correct answer

The technology that could be partnered with Cloud to allow the international fast-food chain to gain insights into customer data, including location and order patterns, is called data analytics or big data analytics. It involves using software algorithms and tools to analyze large and complex datasets like customer data, and extract useful insights and patterns that can be used to make informed decisions about customer-focused experiences such as promotions and unique user experiences. Data analytics can help businesses improve customer satisfaction, increase sales and revenue, and gain a competitive advantage in the marketplace.