| Question.26 HOTSPOT To complete the sentence, select the appropriate option in the answer area. Hot Area:  |
26. Click here to View Answer
Answer:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/team-data-science-process/create-features
| Question.27 HOTSPOT To complete the sentence, select the appropriate option in the answer area. Hot Area:  |
27. Click here to View Answer
Answer:
Accelerate your business processes by automating information extraction. Form Recognizer applies advanced machine learning to accurately extract text, key/ value pairs, and tables from documents. With just a few samples, Form Recognizer tailors its understanding to your documents, both on-premises and in the cloud. Turn forms into usable data at a fraction of the time and cost, so you can focus more time acting on the information rather than compiling it.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/form-recognizer/
| Question.28 Which Computer Vision feature can you use to generate automatic captions for digital photographs? A. Recognize text. B. Identify the areas of interest. C. Detect objects. D. Describe the images. |
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Answer: D
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
| Question.29 You need to develop a web-based AI solution for a customer support system. Users must be able to interact with a web app that will guide them to the best resource or answer. Which service should you use? A. Custom Vision B. QnA Maker C. Translator Text D. Face |
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Answer:B
QnA Maker is a cloud-based API service that lets you create a conversational question-and-answer layer over your existing data. Use it to build a knowledge base by extracting questions and answers from your semi-structured content, including FAQs, manuals, and documents. Answer users’ questions with the best answers from the QnAs in your knowledge baseautomatically. Your knowledge base gets smarter, too, as it continually learns from user behavior.
Incorrect Answers:
A: Azure Custom Vision is a cognitive service that lets you build, deploy, and improve your own image classifiers. An image classifier is an AI service that applies labels (which represent classes) to images, according to their visual characteristics. Unlike the Computer Vision service, Custom Vision allows you to specify the labels to apply.
D: Azure Cognitive Services Face Detection API: At a minimum, each detected face corresponds to a faceRectangle field in the response. This set of pixel coordinates for the left, top, width, and height mark the located face. Using these coordinates, you can get the location of the face and its size. In the API response, faces are listed in size order from largest to smallest.
Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/qna-maker/
| Question.30 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? A. Export the model B. Add utterances to the None intent C. Create a prebuilt task entity D. Create a new model |
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Answer: B