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Google Professional Machine Learning Engineer Professional-Machine-Learning-Engineer Question # 28 Topic 3 Discussion

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Google Professional Machine Learning Engineer Professional-Machine-Learning-Engineer Question # 28 Topic 3 Discussion

Professional-Machine-Learning-Engineer Exam Topic 3 Question 28 Discussion:
Question #: 28
Topic #: 3

You work for a hotel and have a dataset that contains customers ' written comments scanned from paper-based customer feedback forms which are stored as PDF files Every form has the same layout. You need to quickly predict an overall satisfaction score from the customer comments on each form. How should you accomplish this task ' ?
A.

Use the Vision API to parse the text from each PDF file Use the Natural Language API

analyzesentiment feature to infer overall satisfaction scores.

B.

Use the Vision API to parse the text from each PDF file Use the Natural Language API

analyzeEntitysentiment feature to infer overall satisfaction scores.

C.

Uptrain a Document Al custom extractor to parse the text in the comments section of each PDF file. Use the Natural Language API analyze sentiment feature to infer overall satisfaction scores.

D.

Uptrain a Document Al custom extractor to parse the text in the comments section of each PDF file. Use the Natural Language API analyzeEntitySentiment feature to infer overall satisfaction scores.

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Actual exam question for Google Professional-Machine-Learning-Engineer exam by Blaise7910 at Mar 17, 2026, 4:37:00 AM

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