Databricks Generative AI Engineer Associate Question 56
Single answerYou are working on a Databricks project where you need to extract text content from a collection of PDF files and preprocess it for training a generative AI model. Which of the following Python packages would be most appropriate for extracting text from PDF files?
- A
PyPDF2
- B
BeautifulSoup
- C
Pandas
- D
NLTK
Show answer and explanation
Correct answer: A
Explanation
To extract text from PDF files, PyPDF2 is the most appropriate library as it is specifically built for working with PDF documents. Other libraries like BeautifulSoup, Pandas, and NLTK are designed for different purposes, such as HTML parsing, data analysis, and text processing, but they do not provide direct support for reading PDF content.
- A. Correct.
PyPDF2 is a Python library specifically designed for working with PDF files, including text extraction, making it the most suitable choice in this scenario.
- B. Incorrect.
BeautifulSoup is used for parsing and extracting data from HTML and XML files, not PDFs. It is not suitable for this task.
- C. Incorrect.
Pandas is a data manipulation and analysis library. While powerful for working with tabular data, it does not support PDF text extraction directly.
- D. Incorrect.
NLTK is a library for natural language processing tasks like tokenization and stemming. It does not provide functionality for extracting text from PDFs.