One of their tasks is taking an interest in all periods of AI arrangement improvement—from prerequisites definition and plan to advancement, deployment, execution tuning, maintenance, and checking. They work with solution architects to convey their vision and construct total end-to-end AI solutions with analysts, designers, scientists, IoT experts, and AI engineers.
Candidates for this test ought to have the option to make system vision, natural language handling, information mining, and conversational AI solutions on Azure utilizing REST-based APIs and SDKs, as well as an understanding of all the components that help to make up the Azure AI portfolio, the available data storage options, and the ability to apply responsible AI principles. It has a $165 registration fee.
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Designing and Implementing a Microsoft Azure AI Solution Questions and Answers
You need to develop an extract solution for the receipt images. The solution must meet the document processing requirements and the technical requirements.
You upload the receipt images to the From Recognizer API for analysis, and the API returns the following JSON.
Which expression should you use to trigger a manual review of the extracted information by a member of the Consultant-Bookkeeper group?
Need to specify the field name, and then use < 0.7 to handle trigger if confidence score is less than 70%.
You are developing the knowledgebase by using Azure Cognitive Search.
You need to meet the knowledgebase requirements for searching equivalent terms.
What should you include in the solution?
Within a search service, synonym maps are a global resource that associate equivalent terms, expanding the scope of a query without the user having to actually provide the term. For example, assuming "dog", "canine", and "puppy" are mapped synonyms, a query on "canine" will match on a document containing "dog".
Create synonyms: A synonym map is an asset that can be created once and used by many indexes.
You are developing the chatbot.
You create the following components:
• A QnA Maker resource
• A chatbot by using the Azure Bot Framework SDK
You need to add an additional component to meet the technical requirements and the chatbot requirements. What should you add?
Scenario: All planned projects must support English, French, and Portuguese.
If a bot uses multiple LUIS models and QnA Maker knowledge bases (knowledge bases), you can use the Dispatch tool to determine which LUIS model or QnA Maker knowledge base best matches the user input. The dispatch tool does this by creating a single LUIS app to route user input to the correct model.