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To prepare for the Microsoft AI-102 exam, candidates can take advantage of various resources, such as online courses, documentation, and practice exams. Microsoft also offers a certification program called Azure AI Engineer Associate, which includes the AI-102 Exam as one of its requirements. Designing and Implementing a Microsoft Azure AI Solution certification demonstrates that the candidate has the skills and knowledge to design and implement AI solutions on the Azure platform.
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To pass the AI-102 Exam, candidates must demonstrate their skills in developing and deploying solutions that use Azure Cognitive Services, Azure Machine Learning, and other Azure AI tools. They must also be able to design and implement AI workflows, train and deploy machine learning models, and integrate AI solutions with other Azure services.
The Microsoft AI-102 exam is divided into several sections, with each section covering a specific aspect of designing and implementing Azure AI solutions. Candidates must demonstrate their ability to work with Azure's various AI services, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. They must also be able to integrate these services with other Azure services, such as Azure Data Factory and Azure HDInsight.
NEW QUESTION # 72
You have a chatbot that uses a QnA Maker application.
You enable active learning for the knowledge base used by the QnA Maker application.
You need to integrate user input into the model.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - For the knowledge base, select Show active learning suggestions.
2 - Approve and reject suggestions.
3 - Save and train the knowledge base.
4 - Publish the knowledge base.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/qnamaker/how-to/improve-knowledge-base
NEW QUESTION # 73
You need to develop an automated call handling system that can respond to callers in their own language. The system will support only French and English.
Which Azure Cognitive Services service should you use to meet each requirement? To answer, drag the appropriate services to the correct requirements. Each service may be used once, more than once, or not at all. You may need to drag the split bat 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/cognitive-services/text-analytics/how-tos/text-analytics-how-to-language-detection
https://docs.microsoft.com/en-us/azure/cognitive-services/translator/translator-overview
NEW QUESTION # 74
You plan to build a chatbot to support task tracking.
You create a Conversational Language Understanding service named Iu1.
You need to build a Conversational Language Understanding model to Integrate into the chatbot. The solution must minimize development time to build the model.
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
* Add the prebuilt domain ToDo
* Add a new application
* Train the application
* Publish the application
Correct Sequence:
Comprehensive Detailed ExplanationYou are building a Conversational Language Understanding (CLU) model for a chatbot that supports task tracking. To minimize development time, the best approach is to use a prebuilt domain (like ToDo) instead of building intents/entities manually.
Steps in correct order:
* Add the prebuilt domain ToDo
* Prebuilt domains in CLU provide ready-to-use intents and entities for common scenarios (e.g., calendar, email, ToDo).
* This significantly reduces development time since you don't need to create all intents/entities manually.
* Add a new application
* You must first create a CLU application that uses the prebuilt domain.
* The application acts as the container for intents, entities, and utterances.
* Train the application
* Training is required after adding intents, entities, and utterances (or using a prebuilt domain).
* This ensures the model can classify and extract information correctly.
* Publish the application
* Once trained, you must publish the application so it can be accessed via an endpoint and integrated into the chatbot.
* Add example utterances # Not required if you're using the prebuilt ToDo domain (utterances are already included).
Incorrect Actions in this Case
* Add the prebuilt domain ToDo
* Add a new application
* Train the application
* Publish the application
Correct Sequence:
* Conversational Language Understanding (CLU) overview
* Prebuilt domains in CLU (LUIS ToDo example)
* Train and publish CLU models
Microsoft References
NEW QUESTION # 75
You are building an app that will process scanned expense claims and extract and label the following data:
. Merchant information
. Time of transaction
. Date of transaction
. Taxes paid
. Total cost
You need to recommend an Azure Al Document Intelligence model for the app. The solution must minimize development effort.
What should you use?
Answer: B
NEW QUESTION # 76
You are developing an application that will use the Computer Vision client library. The application has the following code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 77
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