QUESTION: 89

In which two scenarios can you use the Form Recognizer service? Each correct answer presents a complete solution.
Note: Each correct selection is worth one point.

Identify the retailer from a receipt
Translate from French to English
Extract the invoice number from an invoice
Find images of products in a catalog

Answer(s): A,C

Reference:

https://docs.microsoft.com/en-us/azure/applied-ai-services/form-recognizer/overview?tabs=v2-1

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DRAG DROP (Drag and Drop is not supported)
Match the facial recognition tasks to the appropriate questions.
To answer, drag the appropriate task from the column on the left to its question on the right.
Each task may be used once, more than once, or not at all.
Note: Each correct selection is worth one point.
Select and Place:

See Explanation section for answer.

Answer(s): A

Explanation:

Box 1: verification

Identity verification
Modern enterprises and apps can use the Face identification and Face verification operations to verify that a user is who they claim to be.

Box 2: similarity
The Find Similar operation does face matching between a target face and a set of candidate faces, finding a smaller set of faces that look similar to the target face.
This is useful for doing a face search by image.
The service supports two working modes, matchPerson and matchFace. The matchPerson mode returns similar faces after filtering for the same person by using the Verify API. The matchFace mode ignores the same-person filter. It returns a list of similar candidate faces that may or may not belong to the same person.

Box 3: identification
Face identification can address "one-to-many" matching of one face in an image to a set of faces in a secure repository. Match candidates are returned based on how closely their face data matches the query face. This scenario is used in granting building or airport access to a certain group of people or verifying the user of a device.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/face/overview

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QUESTION: 91

Which Computer Vision feature can you use to generate automatic captions for digital photographs?

Recognize text.
Identify the areas of interest.
Detect objects.
Describe the images.

Answer(s): D

Explanation:

Describe images with human-readable language
Computer Vision can analyze an image and generate a human-readable phrase that describes its contents. The algorithm returns several descriptions based on different visual features, and each description is given a confidence score. The final output is a list of descriptions ordered from highest to lowest confidence.
The image description feature is part of the Analyze Image API.

Reference:

https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-describing-images

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QUESTION: 92

Which service should you use to extract text, key/value pairs, and table data automatically from scanned documents?

Custom Vision
Face
Form Recognizer
Language

Answer(s): C

Explanation:

Form Recognizer applies advanced machine learning to accurately extract text, key-value pairs, tables, and structures from documents.

Reference:

https://azure.microsoft.com/en-us/services/form-recognizer/

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QUESTION: 89

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