Databricks Generative AI Engineer Associate Question 55
Select 2You are tasked with extracting text content from a batch of PDF documents and preparing it for fine-tuning a generative AI model in Databricks. Which Python package(s) would you choose to efficiently extract text from the provided PDF files?
- A
PyPDF2
- B
pdfplumber
- C
Pandas
- D
TensorFlow
- E
BeautifulSoup
Show answer and explanation
Correct answers: A, B
Explanation
To extract text content from PDF files, libraries like PyPDF2 and pdfplumber are the most appropriate choices. PyPDF2 provides general-purpose text extraction, while pdfplumber offers more advanced features for structured data extraction. Other libraries like Pandas, TensorFlow, and BeautifulSoup do not serve this specific purpose.
- A. Correct.
PyPDF2 is a widely used Python library for extracting text and metadata from PDF files. It is efficient for this use case.
- B. Correct.
pdfplumber is another Python library specifically designed for working with PDF documents. It provides more advanced text extraction capabilities compared to PyPDF2, making it suitable for extracting structured text from PDFs.
- C. Incorrect.
Pandas is a powerful library for data manipulation and analysis, but it is not designed for extracting text from PDF files.
- D. Incorrect.
TensorFlow is a machine learning library that is not intended for document content extraction. It is used for building and training models.
- E. Incorrect.
BeautifulSoup is a library for parsing HTML and XML documents, and it is not applicable for processing PDFs.