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Listening Quiz: Thảo Luận Về Chiến Lược Giám Sát Và Cảnh Báo Mô Hình – Easy Level
Th1 16, 2024
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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?
Training a new machine learning model
Planning how to monitor a model after deployment
Writing a marketing report
Choosing the best computer hardware
Explanation:
William and Laura discuss monitoring the model after deployment, including metrics, alerts, automation, and logging.
2.
Which metrics does Laura suggest watching?
Memory and storage
Accuracy and response time
Customer satisfaction and reviews
Sales and profit
Explanation:
Laura says, ‘Accuracy and response time are very important.’
3.
How often does Laura say alerts should be checked?
Once a day
At least once every hour
Once a week
Only when a problem occurs
Explanation:
Laura answers, ‘At least once every hour is good.’
4.
Why does Laura say alerts are helpful?
They replace the need for logging
They make the model train faster
They reduce the need to monitor performance
They help fix problems fast
Explanation:
Laura says, ‘Alerts help us fix problems fast,’ which explains her purpose for using them.
5.
What can be inferred about William and Laura’s next step?
They will stop monitoring after deployment
They will change the model’s training data
They will ignore errors and warnings
They will create a monitoring plan
Explanation:
William says, ‘Great. Let’s create a monitoring plan now,’ so the next step is to make the plan.
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