Practice Questions

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Question 1

A finance team wants to automatically extract the invoice number, vendor name, and total amount from scanned PDF invoices.

Which AI workload is required?

A. Natural language processing
B. Computer vision
C. Document processing
D. Speech recognition

Correct Answer: C

Explanation: Document processing is designed to extract structured fields and data from documents such as invoices and PDFs.

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Question 2

An organization wants to digitize thousands of paper forms by converting printed text into machine-readable text.

Which capability is required first?

A. Sentiment analysis
B. Optical Character Recognition (OCR)
C. Text classification
D. Language translation

Correct Answer: B

Explanation: OCR extracts printed or handwritten text from scanned documents and images, enabling further processing.

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Question 3

A company processes expense receipts and needs to extract dates, merchant names, totals, and line items.

Which Azure AI service is most appropriate?

A. Azure AI Vision
B. Azure AI Language
C. Azure AI Document Intelligence
D. Azure AI Bot Service

Correct Answer: C

Explanation: Azure AI Document Intelligence (formerly Form Recognizer) is designed for receipt, invoice, and form processing.

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Question 4

A business wants to extract rows and columns from tables embedded in scanned reports.

Which document processing capability is required?

A. Image classification
B. Table extraction
C. Sentiment analysis
D. Language detection

Correct Answer: B

Explanation: Table extraction identifies and extracts structured tabular data from documents.

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Question 5

A healthcare provider wants to process standardized patient intake forms and store field values in a database.

Which workload best fits this scenario?

A. Computer vision only
B. Natural language processing
C. Document processing with form extraction
D. Speech AI

Correct Answer: C

Explanation: Form extraction is a document processing workload that captures structured key-value pairs from standardized forms.

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Question 6

Which scenario most clearly represents a document processing workload?

A. Detecting objects in security camera footage
B. Translating chat messages between languages
C. Extracting contract terms from scanned agreements
D. Converting speech recordings to text

Correct Answer: C

Explanation: Extracting structured information from scanned contracts is a classic document processing use case.

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Question 7

A system extracts handwritten notes from scanned documents.

Which capability enables this?

A. Language detection
B. Handwritten text recognition
C. Image tagging
D. Sentiment analysis

Correct Answer: B

Explanation: Handwritten text recognition is part of document processing and OCR capabilities.

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Question 8

Which clue in a scenario most strongly indicates a document processing workload?

A. Audio recordings are analyzed
B. Photos are classified into categories
C. Structured data is extracted from PDFs or forms
D. Customer reviews are summarized

Correct Answer: C

Explanation: Document processing focuses on extracting structured information from documents such as PDFs, forms, and invoices.

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Question 9

A developer only needs to read plain text from an image without extracting structured fields.

Which Azure AI service is sufficient?

A. Azure AI Document Intelligence
B. Azure AI Language
C. Azure AI Vision
D. Azure AI Bot Service

Correct Answer: C

Explanation: Azure AI Vision provides basic OCR capabilities suitable for simple text extraction from images.

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Question 10

An organization wants to ensure responsible use of AI when processing documents that contain personal data.

Which consideration is most relevant?

A. Image resolution
B. Bounding box accuracy
C. Data privacy and access control
D. Model training speed

Correct Answer: C

Explanation: Document processing often involves sensitive information, making privacy and data protection critical considerations.

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Final Exam Tip

If a scenario involves forms, invoices, receipts, contracts, PDFs, or extracting structured data from documents, the correct choice is almost always a document processing workload, commonly using Azure AI Document Intelligence.

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