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Listening Quiz: Hiểu Về Lợi Ích Của Data Lakehouse – Advanced Level
Th2 26, 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 conversation mainly about?
The differences between raw data and reports
Why companies should stop using data analysis
How Mark and Emily choose software for their office
How a data lakehouse combines storage and organization
Explanation:
Mark explains that a data lakehouse combines a data lake and a data warehouse, letting users store raw data and organize it in one system.
2.
What does Mark say a data lake stores?
Data in charts and tables
Only customer information
Cleaned data for reports
A lot of raw data
Explanation:
Mark directly says that a data lake stores a lot of raw data.
3.
Why does Mark say a lakehouse is helpful?
It replaces all reports with videos
It saves time and money by using one system
It only works for one type of data
It makes raw data disappear
Explanation:
Mark says it is helpful because it saves time and money by using one system.
4.
What can be inferred about a data lakehouse from the conversation?
It is designed to be harder to use than a warehouse
It helps companies analyze data more efficiently
It cannot handle different kinds of data
It stores only organized data
Explanation:
Mark says it makes data analysis faster and better, which supports the inference that it helps companies analyze data more efficiently.
5.
Why does Emily ask, ‘So, a lakehouse is both simple and powerful?’
She wants to confirm her understanding of Mark’s explanation
She thinks Mark has not explained anything
She is trying to change the subject
She is asking Mark to define a data warehouse again
Explanation:
Emily asks this after hearing the explanation to check that she understands the idea correctly.
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