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Listening Quiz: Thảo Luận Về Độ Tin Cậy Và Rủi Ro Của Mô Hình – Medium Level
Th3 12, 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.
How often do Emma and her team update the model?
Every week
Every month
Every day
Every year
Explanation:
Emma says they update the model every month to improve accuracy.
2.
What does Emma say they do to catch big data changes early?
Stop using safety checks
Monitor data daily
Test the model with old data
Update the model yearly
Explanation:
Emma explains that they monitor data daily to catch big changes early.
3.
What can be inferred about the model’s reliability process?
It is supported by several ongoing precautions
It is never checked after training
It cannot handle changes in data
It is only used for unusual cases
Explanation:
Emma mentions real-data testing, safety checks, monthly updates, daily monitoring, and many training examples, which suggests several ongoing precautions support reliability.
4.
How does Emma report model risks to leaders?
By giving clear reports with risk levels and fixes
By sending informal messages with no details
By waiting until the model fails
By asking Daniel to explain the risks
Explanation:
Emma says they give clear reports with risk levels and fixes.
5.
What is the main topic of the conversation?
A discussion about changing the company logo
The reliability of a model and how its risks are managed
A plan for hiring new employees
A complaint about slow computer equipment
Explanation:
The conversation focuses on the model’s reliability, risks, updates, monitoring, and reporting.
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