AQA A Level · Computer Science 7517

大數據:練習題

5 條多項選擇題即時批改,另有 5 條文字題附完整解題步驟,全部圍繞「大數據」。

10 條題目21 免費,無需登記
第 1 題
1

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

第 2 題
1

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

第 3 題
1

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?

第 4 題
1

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?

第 5 題
1

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

第 6 題
2

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

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第 7 題
3

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

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第 8 題
4

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

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第 9 題
3

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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第 10 題
4

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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