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Listening Quiz: Lựa Chọn Giữa Pandas Và Apache Spark – Medium Level
Th9 4, 2024
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Nhà khoa học dữ liệu (English for Data Scientist)
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1.
What is the main topic of Robert and Anna’s conversation?
Why all data tasks should use Spark
The differences between Pandas and Apache Spark
How to install data software on a computer
The history of two famous programmers
Explanation:
The conversation compares Pandas and Apache Spark, focusing on their strengths and weaknesses for different data sizes.
2.
According to the conversation, which tool is easier to learn and use?
Pandas
Neither one can be learned easily
Both are equally difficult
Apache Spark
Explanation:
Anna says, ‘Pandas is easier to learn and use.’
3.
What does Anna say Apache Spark can do with data?
It is slower than Pandas for big data
It can handle data across many computers
It cannot work with large data
It can only handle small files
Explanation:
Anna says, ‘Spark can handle data across many computers.’
4.
What can be inferred about the best choice of tool from the conversation?
Neither tool is useful for data work
The best tool depends on the data size and computer power
Spark should be used only for quick tests
Pandas is always better than Spark
Explanation:
Robert and Anna conclude that the choice depends on the data size, and Anna adds that it also depends on computer power.
5.
Why does Robert say Spark is better for large data?
It saves a lot of time with big data
It is easier to learn than Pandas
It requires less memory and setup
It is better for quick tests
Explanation:
Anna says, ‘For big data, Spark saves a lot of time,’ which supports Robert’s point that Spark is better for large data.
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