PMLE Architecting Low-Code ML Solutions Practice Question

Correct answer & explanation

Option D is correct because Document AI's specialized Invoice parser processor is purpose-built to extract structured fields such as invoice number, invoice date, and total amount from invoice documents, which is exactly the extraction requirement in this pipeline. Option B is correct because Document AI's Human-in-the-Loop (HITL) feature lets you define confidence thresholds and route documents for manual review, which directly satisfies the requirement to have humans review invoices over $10,000 before downstream processing. Together, the Invoice parser handles automated field extraction while HITL provides the human verification step for high-value invoices. Option A is not the best fit because Cloud Vision API provides generic OCR without invoice-specific field extraction or built-in human review workflows. Option C is incorrect because AutoML Tables is a tabular ML service for structured data prediction, not for predicting missing fields in parsed documents. Option E is incorrect because Cloud Translation API only translates text and does not extract invoice fields or support human review.