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 3)
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 11–15
- 11
Which Python package is specifically designed to extract text from PDF files?
Select an answer first - 12
A data scientist needs to extract the main article text from a set of HTML pages scraped from a news website. The pages contain navigation menus, ads, and footer content that should be excluded. Which package is most appropriate for this task?
Select an answer first - 13
A data engineer is extracting text from a PDF that contains a mix of embedded fonts. Some characters are extracted as garbled symbols (e.g., 'é' instead of 'é'). The engineer needs to fix this to get accurate text. Which action is most likely to resolve the issue?
Select an answer first - 14
A team maintains a corpus of product manuals stored as .docx files. They need to extract the text from these files, including text inside tables, to build a search index. Which package should they use?
Select an answer first - 15
A data analyst has a set of `.docx` files that contain images with embedded text (e.g., screenshots of tables). The analyst needs to extract the text from these images as well as the regular document text. Which approach is most appropriate?
Select an answer first
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