PySpark and AWS: Master Big Data with PySpark and AWS - Quiz (Map)

The video tutorial guides students on how to prepare for a quiz by creating an input file, storing it in Databricks, and reading it into an RDD. Students are instructed to write a mapper function to calculate the length of each word in the file, and the expected output format is discussed. The video concludes with a prompt to solve the problem using the map function, with a solution to be discussed in the next video.

What is the first step in preparing for the quiz according to the video?

• Create a new file on your local machine.

• Directly write the mapper function.

• Store the file in cloud storage.

• Read the file into an RDD.

What should you do after creating the input file?

• Store it in Databricks storage.

• Analyze the file content.

• Write a reducer function.

• Share the file with peers.

What is the purpose of the mapper function in this task?

• To convert the file into a different format.

• To sort the words alphabetically.

• To count the number of lines in the file.

• To calculate the length of each word.

How should the output of the mapper function be structured?

• As a dictionary with word frequencies.

• As a string of concatenated words.

• As a set of unique words.

• As a list with word lengths.

Which function is suggested to achieve the task of calculating word lengths?

• Join function

• Filter function

• Reduce function

• Map function