DA0-001 · Question #28
An analyst is required to run a text analysis of data that is found in articles from a digital news outlet. Which of the following would be the BEST technique for the analyst to apply to acquire the…
The correct answer is A. Web scraping. Web scraping (A) is the best technique for extracting text data from online articles on a digital news website. Web scraping uses automated tools to parse HTML content from web pages and extract specific data - such as article text, headlines, and metadata - at scale. This is…
Question
An analyst is required to run a text analysis of data that is found in articles from a digital news outlet. Which of the following would be the BEST technique for the analyst to apply to acquire the data?
Options
- AWeb scraping
- BSampling
- CData wrangling
- DETL
How the community answered
(23 responses)- A87% (20)
- B4% (1)
- C9% (2)
Explanation
Web scraping (A) is the best technique for extracting text data from online articles on a digital news website. Web scraping uses automated tools to parse HTML content from web pages and extract specific data - such as article text, headlines, and metadata - at scale. This is precisely the use case described. Sampling (B) is a statistical method for selecting a subset of data from an existing dataset - it's not a data acquisition technique for online content. Data wrangling (C) refers to cleaning and transforming already-acquired data, not collecting it. ETL (Extract, Transform, Load) (D) is a pipeline process typically used for structured data from databases or APIs, not for gathering unstructured text from web pages. Web scraping is the correct acquisition method here.
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