Explanation:

The correct completion of the sentence is:
"The Form Recognizer service can be used to extract information from a driver's license to populate a database." According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and the Microsoft Learn module "Identify features of computer vision workloads," Azure Form Recognizer (part of Azure AI Document Intelligence) is a document processing service that uses machine learning and optical character recognition (OCR) to extract structured data, key-value pairs, and text from documents such as invoices, receipts, identity cards, and driver's licenses.
This service allows businesses to automate data entry and document processing workflows by converting physical or scanned documents into machine-readable formats. For example, with a driver's license, Form Recognizer can extract structured data fields such as Name, Date of Birth, License Number, and Expiration Date, and automatically populate those values into a database or CRM system.
The AI-900 study materials emphasize that Form Recognizer is designed to handle both structured and unstructured document layouts. It includes prebuilt models for common document types (like invoices, receipts, and identity documents) and supports custom models for domain-specific forms.
By comparison:
* Computer Vision extracts general text or image content but doesn't structure or label extracted fields.
* Custom Vision is used for training image classification or object detection models.
* Conversational Language Understanding is for processing text or speech to determine intent, not extracting document data.
Therefore, based on the Microsoft Learn AI-900 official study content, the Form Recognizer service is the correct choice, as it is explicitly designed to extract and structure data from documents like driver's licenses, forms, and receipts - making it ideal for automatically populating a database.