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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?
Choosing the best AI software for design work
Discussing the data needed for AI risk analysis
Planning how to market a new project service
Reviewing the results of an AI experiment
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 five years of detailed project records
At least one year of records
At least ten years of summary reports
At least three years 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?
Share it only with the project manager
Delete it after the analysis is finished
Store it on separate computers only
Use encryption and limit access to the data
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 come only from successful projects
It should be kept private because it is not useful to others
It should be varied and reliable for better predictions
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?
Backup and printing tools
Data cleaning and normalization tools
Presentation and scheduling tools
Translation and editing tools
Explanation:
Emily says, “Data cleaning and normalization tools are essential.”
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