Databricks Generative AI Engineer Associate Question 57
Single answerYou are tasked with building a pipeline in Databricks to preprocess a large set of documents in various formats (PDFs, Word documents, and plain text files) to extract their content for further analysis. Which Python package would be most appropriate for this task?
- A
PyPDF2
- B
BeautifulSoup
- C
Textract
- D
Pandas
Show answer and explanation
Correct answer: C
Explanation
Textract is the most suitable Python package for extracting content from multiple document types, such as PDFs, Word documents, and plain text files, making it the ideal choice for preprocessing document data in a Databricks pipeline. Other options are either limited to specific formats or designed for unrelated tasks.
- A. Incorrect.
PyPDF2 is a library specifically designed for working with PDF files, such as extracting text from them. However, it does not support extracting content from other document formats like Word documents or plain text files.
- B. Incorrect.
BeautifulSoup is used for parsing and scraping HTML and XML documents but is not suitable for extracting content from PDFs, Word documents, or plain text files.
- C. Correct.
Textract is a robust Python package that supports extracting text from a variety of document formats, including PDFs, Word documents, plain text files, and others. It is the most appropriate choice for this task.
- D. Incorrect.
Pandas is a powerful library for data manipulation and analysis, but it is not designed for extracting content from documents.