Q3. Consider the WordCount example in which you were supposed to count the number of each word in a text. What happens if you set the first etter of each word as the key instead of each word? Hint: If you are not sure how to do this, the process of the algorithm was described in the video "How to do a job in parallel". A. MapReduce counts the number of each letter in the text B. MapReduce still counts the number of each word in the text C. MapReduce counts the number of words with the same first letter in the text Q3. Consider the WordCount example in which you were supposed to count the number of each word in a text. What happens if you set the first etter of each word as the key instead of each word? Hint: If you are not sure how to do this, the process of the algorithm was described in the video "How to do a job in parallel". A. MapReduce counts the number of each letter in the text B. MapReduce still counts the number of each word in the text C. MapReduce counts the number of words with the same first letter in the text