You are building a Language Understanding model for an e-commerce business.
You need to ensure that the model detects when utterances are outside the intended scope of the model.
What should you do?
Answer : B
TheNoneintent is filled with utterances that are outside of your domain.
https://docs.microsoft.com/en-us/azure/cognitive-services/LUIS/luis-concept-intent
Topic 5, Describe features of conversational AI workloads on Azure
You use drones to identify where weeds grow between rows of crops to send an Instruction for the removal of the weeds. This is an example of which type of computer vision?
Answer : C
Object detection is similar to tagging, but the API returns the bounding box coordinates for each tag applied. For example, if an image contains a dog, cat and person, the Detect operation will list those objects together with their coordinates in the image.
https://docs.microsoft.com/en-us/ai-builder/object-detection-overview
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr
You have a natural language processing (NIP) model that was created by using data obtained without permission.
Which Microsoft principle for responsible Al does this breach?
Answer : C
What is a use case for classification?
Answer : D
You have the process shown in the following exhibit.
Which type AI solution is shown in the diagram?
Answer : B
Which two scenarios are examples of a conversational AI workload? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
Answer : A, B
You need to develop a mobile app for employees to scan and store their expenses while travelling.
Which type of computer vision should you use?
Answer : D
Azure's Computer Vision API includes Optical Character Recognition (OCR) capabilities that extract printed or handwritten text from images. You can extract text from images, such as photos of license plates or containers with serial numbers, as well as from documents - invoices, bills, financial reports, articles, and more.
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-recognizing-text