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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?
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A
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Explanation
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. [Reference:, https://docs.microsoft.com/en-us/azure/search/search-synonyms, , , , , , ]
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You are developing the knowledgebase.
You use Azure Video Analyzer for Media (previously Video indexer) to obtain transcripts of webinars.
You need to ensure that the solution meets the knowledgebase requirements.
What should you do?
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A
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Explanation
Can search content in different formats, including video Audio and video insights (multi-channels). When indexing by one channel, partial result for those models will be available. Keywords extraction: Extracts keywords from speech and visual text. Named entities extraction: Extracts brands, locations, and people from speech and visual text via natural language processing (NLP). Topic inference: Makes inference of main topics from transcripts. The 2nd-level IPTC taxonomy is included. Artifacts: Extracts rich set of " next level of details " artifacts for each of the models. Sentiment analysis: Identifies positive, negative, and neutral sentiments from speech and visual text. [Reference:, https://docs.microsoft.com/en-us/azure/azure-video-analyzer/video-analyzer-for-media-docs/video-indexer-overview, , , , ]
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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?
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A
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Explanation
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. [Reference:, https://docs.microsoft.com/en-us/azure/bot-service/bot-builder-tutorial-dispatch, , , , , ]
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Find answers to the most common questions about the Microsoft AI-102 exam, including what it is, how to prepare, and how it can boost your career.
The Microsoft AI-102 certification is a globally-acknowledged credential that is awarded to candidates who pass this certification exam by obtaining the required passing score. This credential attests and validates the candidates' knowledge and hands-on skills in domains covered in the Microsoft AI-102 certification syllabus. The Microsoft AI-102 certified professionals with their verified proficiency and expertise are trusted and welcomed by hiring managers all over the world to perform leading roles in organizations. The success in Microsoft AI-102 certification exam can be ensured only with a combination of clear knowledge on all exam domains and securing the required practical training. Like any other credential, Microsoft AI-102 certification may require periodic renewal to stay current with new innovations in the concerned domains.