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Download Designing and Implementing an Azure AI Solution Exam Dumps
NEW QUESTION 39
You are developing the smart e-commerce project.
You need to design the skillset to include the contents of PDFs in searches.
How should you complete the skillset design diagram? To answer, drag the appropriate services to the correct stages. Each service may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/search/cognitive-search-concept-intro
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/overview-ocr
NEW QUESTION 40
What are two benefits of platform as a service (PaaS) relational database offerings in Azure, such as Azure SQL Database? Each correct answer presents a complete solution.
NOTE: Each correct selection Is worth one point.
- A. reduced administrative effort for managing the server infrastructure
- B. in-database machine learning services S3
- C. complete control over backup and restore processes
- D. access to the latest features
Answer: A,D
NEW QUESTION 41
You need to build a chatbot that meets the following requirements:
* Supports chit-chat, knowledge base, and multilingual models
* Performs sentiment analysis on user messages
* Selects the best language model automatically
What should you integrate into the chatbot?
- A. Translator, Speech, and Dispatch
- B. Language Understanding, Text Analytics, and QnA Maker
- C. QnA Maker, Language Understanding, and Dispatch
- D. Text Analytics, Translator, and Dispatch
Answer: B
Explanation:
Explanation
Language Understanding: An AI service that allows users to interact with your applications, bots, and IoT devices by using natural language.
QnA Maker is a cloud-based Natural Language Processing (NLP) service that allows you to create a natural conversational layer over your data. It is used to find the most appropriate answer for any input from your custom knowledge base (KB) of information.
Text Analytics: Mine insights in unstructured text using natural language processing (NLP)-no machine learning expertise required. Gain a deeper understanding of customer opinions with sentiment analysis. The Language Detection feature of the Azure Text Analytics REST API evaluates text input Reference:
https://azure.microsoft.com/en-us/services/cognitive-services/text-analytics/
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/overview/overview
NEW QUESTION 42
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You develop an application to identify species of flowers by training a Custom Vision model. You receive images of new flower species.
You need to add the new images to the classifier.
Solution: You add the new images and labels to the existing model. You retrain the model, and then publish the model.
Does this meet the goal?
- A. Yes
- B. No
Answer: A
Explanation:
The model needs to be extended and retrained.
NEW QUESTION 43
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