Write multiple if statements: If carYear is before 1967, put "Probably has few safety features.\n" to output.

If after 1970, put "Probably has head rests.\n" to output.

If after 1992, put "Probably has anti-lock brakes.\n" to output.

If after 2002, put "Probably has airbags.\n" to output.

Ex: If carYear is 1995, then output is:

Probably has head rests.
Probably has anti-lock brakes.

Hope this is good enough! Good luck.

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;

}

def get_word(sentence, n):

# Only proceed if n is positive

   if n > 0:

       words = sentence.split()

# Only proceed if n is not more than the number of words

       if n <= len(words):

           return words[n-1]

   return (" ")

print(get_word("This is a lesson about lists", 4)) # Should print: lesson

print(get_word("This is a lesson about lists", -4)) # Nothing

print(get_word("Now we are cooking!", 1)) # Should print: Now

print(get_word("Now we are cooking!", 5)) # Nothing

Explanation:

Added parts are highlighted.

If n is greater than 0, split the given sentence using split method and set it to the words.

If n is not more than the number of words, return the (n-1)th index of the words. Since the index starts at 0, (n-1)th index corresponds to the nth word

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.

Question:

When multiple team members are working on a related feature, how often should they integrate their work

Select only one answer.

A) Do the integration midway through the iteration.

B) After they reach a logical end of creating the functionality.

C) In a scheduled daily (or multiple times in a day) frequency.

D) In a scheduled weekly (or multiple times in a week) frequency.

The best option is D.

Explanation:

Multiple integrations per day may become too cumbersome. Leaving the various parts of the project until a logical end for a functionality has been reached may create room for a lot of errors thus resulting in time wasted.

To ensure regular course correction (if required), twice a week would suffice.

Cheers!