A data engineer is working with a set of PDF files that are large (hundreds of pages). They need to extract text from only specific pages (e.g., pages 10-20) to reduce processing time. Which package and method is most appropriate?

Use PyPDF2's `PdfReader` and iterate over `reader.pages[9:20]`

Use python-docx to extract the text

Use pdfplumber's `extract_text()` on the whole document

Use BeautifulSoup to parse the PDF

A developer is building a pipeline to extract text from a mix of PDF and DOCX files. The extracted text will be split into chunks for embedding. The developer wants a single library that can handle both formats with a consistent API. Which approach is most appropriate?

Use pdfplumber for both PDF and DOCX files

Use PyPDF2 for PDFs and python-docx for DOCX files, then combine the results

Use BeautifulSoup for both PDF and DOCX files

A team is processing a large set of HTML files that are not well-formed (e.g., unclosed tags, mis-nested elements). They need to extract text reliably despite the malformed markup. Which package is most appropriate?

BeautifulSoup with the 'html.parser' parser

What is the typical first step in an extraction workflow when using python-docx to process a Word document?

Load the document with Document('file.docx')

Iterate over paragraphs directly without loading

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Domain 2Objective 3

Choose the Appropriate Python Package to Extract Document Content from Provided Source Data and Format. GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 1)

Part of the Section 2: Data Preparation domain, which makes up ~25% of our current practice bank. Databricks does not publish an official question count, but from its 90-minute exam (~35–60 total, ~9–15 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

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Questions 1–5

1expert · medium
A data engineer is working with a set of PDF files that are large (hundreds of pages). They need to extract text from only specific pages (e.g., pages 10-20) to reduce processing time. Which package and method is most appropriate?
Select an answer first
2application · medium
A developer is building a pipeline to extract text from a mix of PDF and DOCX files. The extracted text will be split into chunks for embedding. The developer wants a single library that can handle both formats with a consistent API. Which approach is most appropriate?
Select an answer first
3foundation · easy
A data engineer needs to extract text from a Microsoft Word document (.docx) in a Databricks notebook. Which package should they use?
Select an answer first
4expert · medium
A team is processing a large set of HTML files that are not well-formed (e.g., unclosed tags, mis-nested elements). They need to extract text reliably despite the malformed markup. Which package is most appropriate?
Select an answer first
5foundation · easy
What is the typical first step in an extraction workflow when using python-docx to process a Word document?
Select an answer first

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