Quiz for:
Sampling Techniques in Big Data Streams

Question 1

Which sampling technique involves selecting a fixed number of records from the stream regardless of the stream's volume?

Question 2

An example of Fixed Proportion Sampling is:

Question 3

What type of sampling might be used for analyzing customer orders from an online store every hour?

Question 4

Which sampling technique would most likely be used to select product ratings from users gives accurate ratings based on their history?

Question 5

What is a potential disadvantage of Fixed Proportion Sampling?

Question 6

What is the primary challenge associated with Fixed Proportion Sampling?

Question 7

In Biased Reservoir Sampling, why might significant biases be introduced?

Question 8

Which sampling technique is beneficial when memory is highly constrained?

Question 9

Which sampling technique selects data based on a predetermined probability distribution?

Question 10

Which of the following is true for Fixed Size Sampling?

Question 11

Which technique is most appropriate when analyzing customer spending by selecting unique customer IDs?

Question 12

What is a key advantage of Concise Sampling?

Question 13

What is the main goal of sampling in big data streams?

Question 14

In which sampling technique would parameter adjustment be necessary to provide the best results?