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Listening Quiz: Thảo Luận Nhu Cầu Dữ Liệu Cho Phân Tích Rủi Ro Bằng AI – Advanced Level
Th9 25, 2025
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bởi
Anna Phạm
trong
Tiếng Anh dành cho Kỹ sư xây dựng (English for Civil Engineer)
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1.
What is Emily and John’s conversation mainly about?
Reviewing the results of an AI experiment
Discussing the data needed for AI risk analysis
Choosing the best AI software for design work
Planning how to market a new project service
Explanation:
The conversation focuses on what data is needed for AI risk analysis, including amount, quality, diversity, external factors, and protection.
2.
How much historical project data does Emily say is needed for good results?
At least three years of records
At least five years of detailed project records
At least ten years of summary reports
At least one year of records
Explanation:
Emily says, “At least five years of detailed project records.”
3.
According to Emily, what should be done to protect sensitive data during analysis?
Use encryption and limit access to the data
Store it on separate computers only
Delete it after the analysis is finished
Share it only with the project manager
Explanation:
Emily explains that they protect sensitive data by using encryption and limiting access.
4.
What can be inferred about the data Emily wants to use for the AI model?
It should be collected without any external information
It should be varied and reliable for better predictions
It should come only from successful projects
It should be kept private because it is not useful to others
Explanation:
Emily says the data must be accurate, complete, diverse, and include external factors, which suggests it should be varied and reliable to improve predictions.
5.
What tools does Emily say are essential for preparing the data?
Translation and editing tools
Presentation and scheduling tools
Data cleaning and normalization tools
Backup and printing tools
Explanation:
Emily says, “Data cleaning and normalization tools are essential.”
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