What is the output of the following code?  char str1[] = “test string”; char *ptr = strchr(str1, ‘t’); printf(“%ld”, ptr – str1);

Which of the following allocates memory for a 2D array of int (5×5)?

What is the output of the following code if file.txt contains:  line1 line2 FILE *fp = fopen(“file.txt”, “r”); char str[10]; fgets(str, 10, fp); printf(“%s”, str); fclose(fp);

At present, India’s economy ranks just below that of the Commonwealth of Independent States. What factors were key in transitioning the country’s financial situation into being largely successful: 

Formally known as East Pakistan, this country struggled to become independent in 1971. It has great amounts of fertile soil but is an extremely poor country with major natural hazards (mainly flooding):  

Short Discussion: Based on the lecture and You Tube video define and describe the Green Revolution. Include in your answer the general results of the Green Revolution for India: 

The South Asia countries of Nepal, Bhutan, Afghanistan, Sri Lanka, Maldives all have similarities. However, which of the following selections does NOT follow this pattern: 

Which of the following is most commonly used for disinfecting wastewater in the United States?

**** This is a SHOW YOUR WORK question. This means after completing the problem you will need to show your work to the honorlock camera. Ensure that you hold it there for long enough that Professor Bramall can easily pause the video to read your work. Ensure that all your work is in the frame. You can show it in sections if that is easier. You will not earn more than 5 points on this question if you do not show any work. ***  Solve the system of equations using matrices.

*Make sure that you answer all three questions in your essay response* The linear function  models weekly hours spend online in the United States , years after 2002. 1. What is the slope of this model? 2. What does the slope represent in this context? (Clearly state what the numerical slope means in the context given in this problem).  3. Use this model to predict weekly time spent online in 2024.