A data scientist is extracting text from a set of PDFs that contain a mix of standard text and text rendered as vector graphics (e.g., text converted to curves). The standard text extracts fine, but the vector-graphic text is missing. Which approach is most likely to recover the missing text?

Use pdfplumber with the `extract_text()` method

Use BeautifulSoup to parse the PDF

Render the PDF pages to images and use pytesseract for OCR

Use PyPDF2's `extractText()` method

DatabricksCertified Generative AI Engineer Associate

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 4)

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)

21questions here

5free pages

3concepts

Questions 16–20

16foundation · easy
Which package would be most appropriate to extract text from a PDF that contains complex layouts and tables?
Select an answer first
17foundation · easy
Which Python package is best suited for parsing HTML content to extract text?
Select an answer first
18application · medium
A data engineer needs to extract text from a set of scanned PDF documents that contain no embedded text layer. The documents are mostly forms with text in fixed positions. The extracted text will be used for keyword matching in a downstream RAG pipeline. Which Python package should the engineer use?
Select an answer first
19expert · hard
A data scientist is extracting text from a set of PDFs that contain a mix of standard text and text rendered as vector graphics (e.g., text converted to curves). The standard text extracts fine, but the vector-graphic text is missing. Which approach is most likely to recover the missing text?
Select an answer first
20application · medium
A team needs to extract text from a large number of PDF files. The PDFs are known to contain a mix of standard text and some text encoded with custom fonts that often cause extraction issues. Which package is most likely to handle these problematic fonts correctly?
Select an answer first

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Choose the Appropriate Python Package to Extract Document Content from Provided Source Data and Format. GENERATIVE-AI-ENGINEER-ASSOCIATE Practice Questions (Page 4)

Questions 16–20

Which package would be most appropriate to extract text from a PDF that contains complex layouts and tables?

Which Python package is best suited for parsing HTML content to extract text?

A data scientist is extracting text from a set of PDFs that contain a mix of standard text and text rendered as vector graphics (e.g., text converted to curves). The standard text extracts fine, but the vector-graphic text is missing. Which approach is most likely to recover the missing text?

A team needs to extract text from a large number of PDF files. The PDFs are known to contain a mix of standard text and some text encoded with custom fonts that often cause extraction issues. Which package is most likely to handle these problematic fonts correctly?

Keep studying — Section 2: Data Preparation