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Listening Quiz: Chiến Lược Phân Vùng Dữ Liệu Và Hiệu Suất – Medium Level
Th10 29, 2025
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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 the conversation?
The history of database systems
The importance of backing up files
How to write faster computer code
Different ways to organize data and their effect on performance
Explanation:
John and Anna discuss data partitioning methods, their benefits, and how they affect performance.
2.
Why does Anna prefer hash partitioning?
It reduces the number of queries
It avoids the need for partition keys
It balances data well
It works best for sorted data
Explanation:
Anna says, “I like hash partitioning. It balances data well.”
3.
What does Anna say range partitioning is good for?
Handling sorted data and queries on data ranges
Reducing data skew
Increasing the number of partitions
Choosing partition keys automatically
Explanation:
John says range partitioning works better for sorted data, and Anna adds that range helps with queries on data ranges.
4.
What can be inferred about using too many partitions?
It always makes queries faster
It only affects sorted data
It may hurt system performance
It eliminates the need for careful keys
Explanation:
John says too many partitions can slow down the system, so using too many may hurt performance.
5.
What problem can poor partition keys cause?
They improve efficiency
They make range partitioning unnecessary
They reduce the number of data parts
They cause data skew and slow queries
Explanation:
Anna says poor keys cause data skew and slow queries.
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