AQA A Level · Computer Science 7517

Big Data: Practice Questions

5 multiple-choice questions marked as you go, and 5 written questions with worked solutions. All on Big Data.

10 questions21 marksFree, no account

Question 1

1 mark

Why are traditional relational databases often considered inappropriate for processing Big Data?

Question 2

1 mark

According to the specification, why is functional programming considered a good solution for Big Data processing?

Question 3

1 mark

When data sizes are so large that they cannot fit on a single server, which of the following must occur for the data to be processed?

Question 4

1 mark

Which of the 'V's of Big Data describes the requirement for data to be processed in near real-time, often moving from milliseconds to seconds to respond to streaming inputs?

Question 5

1 mark

In Big Data graph schemas, what are nodes and edges typically used to represent?

Question 6

2 marks

In the context of Big Data, define the term velocity.

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Question 7

3 marks

Explain why traditional relational databases often fail to scale effectively for Big Data applications.

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Question 8

4 marks

Explain the role of nodes and edges in a graph schema used for Big Data.

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Question 9

3 marks

In the context of Big Data, explain the role of Machine Learning techniques. Why are these techniques specifically necessary when dealing with the attribute of 'Variety'?

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Question 10

4 marks

Explain the relationship between the Velocity of Big Data and the need for streaming technologies. In your answer, contrast batch processing with stream processing.

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