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Listening Quiz: Che Giấu Dữ Liệu Cho Việc Huấn Luyện Mô Hình – Medium Level
Th11 3, 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 conversation mainly about?
Using data masking to protect training data
Improving team communication during training
Fixing an error in the encryption software
Choosing the best model architecture for a new project
Explanation:
Paul and Emma discuss how to protect training data using data masking techniques, including tokenization and encryption.
2.
What does Paul say data masking does?
It removes all data from the model
It hides sensitive information in the data
It makes the data easier to read
It increases the size of the dataset
Explanation:
Paul explains that data masking hides sensitive information in the data.
3.
Which methods does Paul recommend?
Compression and indexing
Backups and syncing
Tokenization and encryption
Filtering and sorting
Explanation:
Paul says that tokenization and encryption are good options.
4.
What can be inferred about Emma’s opinion of the suggested methods?
She wants to avoid protecting the data
She thinks they are too expensive
She believes they will reduce privacy
She is interested in using them
Explanation:
Emma says, ‘Great. Let’s start with tokenization first,’ which shows she is interested in using the methods.
5.
What will Paul likely do next?
Ask Emma to explain data masking again
Cancel the training project
Prepare a plan for tokenization
Choose a different dataset
Explanation:
Paul says, ‘I will prepare a plan for that,’ after Emma agrees to start with tokenization first.
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