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Microsoft AI-102 is a certification exam that is designed to test the skills and knowledge of candidates in designing and implementing solutions that use Microsoft Azure AI. Designing and Implementing a Microsoft Azure AI Solution certification exam is intended for professionals who have a strong understanding of Microsoft Azure and its services, as well as experience in the design and deployment of AI solutions. AI-102 exam is designed to assess a candidate's ability to use Azure AI services to solve business problems and create intelligent applications.
Candidates for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution build, manage, and deploy AI solutions that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework.
Their responsibilities include participating in all phases of AI solutions development—from requirements definition and design to development, deployment, maintenance, performance tuning, and monitoring.
They work with solution architects to translate their vision and with data scientists, data engineers, IoT specialists, and AI developers to build complete end-to-end AI solutions.
Candidates for this exam should be proficient in C# or Python and should be able to use REST-based APIs and SDKs to build computer vision, natural language processing, knowledge mining, and conversational AI solutions on Azure.
They should also understand the components that make up the Azure AI portfolio and the available data storage options. Plus, candidates need to understand and be able to apply responsible AI principles.
Part of the requirements for: Microsoft Certified: Azure AI Engineer Associate
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Microsoft AI-102 Certification Exam is a challenging exam that requires a lot of preparation and hands-on experience with Azure services. Candidates who pass AI-102 exam demonstrate their skills in designing and implementing AI solutions using Azure services, which is highly valued in the IT industry. Designing and Implementing a Microsoft Azure AI Solution certification is an excellent way for professionals to demonstrate their expertise in AI and advance their career in this field.
NEW QUESTION # 143
Drag and Drop Question
You plan to build a chatbot to support task tracking.
You create a Language Understanding service named lu1.
You need to build a 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. (Choose four.)
Answer:
Explanation:
Explanation:
Step 1: Add a new application
Create a new app
1. Sign in to the LUIS portal with the URL of https://www.luis.ai.
2. Select Create new app.
3. Etc.
Step 2: Add the prebuilt domain ToDo
In order to minimize dev time you should include the prebuilt domain ToDo.
Step 3: Train the application
Step 4: Publish the application
In order to receive a LUIS prediction in a chat bot or other client application, you need to publish the app to the prediction endpoint.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/tutorial-intents-only
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-reference-prebuilt-domains
NEW QUESTION # 144
You are building an agent by using the Azure Al Agent Service.
You need to ensure that the agent can access publicly accessible data that was released during the past 90 days.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
To let an Azure AI Agent access publicly available, recent web content, you add the Bing grounding tool. In the SDK, you first define a ToolConnectionList with the Bing connection ID (here, "bingConnectionId"), then construct a BingGroundingToolDefinition(connectionList) so the agent can call Bing Search with recency filters (e.g., last 90 days) when answering questions.
When creating the agent, tool definitions are passed via the tools: parameter of CreateAgentAsync(...) as a List<ToolDefinition>. The toolResources parameter is used when you must also supply resource descriptors (for example, an Azure AI Search index configuration), which is not needed here because the Bing grounding tool already references the connection through the ToolConnectionList.
Therefore:
* Use BingGroundingToolDefinition to ground the agent on current public web data.
* Provide that tool in tools: new List<ToolDefinition> { grounding } when calling CreateAgentAsync(...).
Microsoft Azure AI References (titles only)
* Azure AI Agent Service - Bing web grounding tool (tool definitions and connections)
* Azure AI Agent Service SDK - Agent creation (CreateAgentAsync parameters: tools vs toolResources)
* Azure AI Agent Service - Tool connections and ToolConnectionList usage
NEW QUESTION # 145
Hotspot Question
You are building an app that will automatically translate speech from English to French, German, and Spanish by using Azure AI service.
You need to define the output languages and configure the Azure AI Speech service.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 146
Select the answer that correctly completes the sentence.
Answer:
Explanation:
Explanation:
NEW QUESTION # 147
You have an Azure subscription that contains an Azure Al Content Safety resource named CS1.
You create a test image that contains a circle.
You submit the test image to CS1 by using the curl command and the following command-line parameters.
What should you expect as the output?
Answer: A
Explanation:
You are analyzing an image with Azure AI Content Safety using the following request payload:
{
"image": {
"content": "<base_64_string>"
},
"categories": [
"Violence"
],
"outputType": "EightSeverityLevels"
}
* Category specified # "Violence"
* The Content Safety API will check for violent content in the image.
* Test image description # A simple circle.
* This is not violent in any way.
* Output type # "EightSeverityLevels"
* This setting returns a floating-point severity score from 0.0 (no severity) up to 7.0 (highest severity).
* Since the image is only a circle (non-violent), the violence severity level will be at the lowest possible value: 0.0 Key Points:Expected result:
The answer: B. 0.0
* Azure AI Content Safety - Image moderation
* Content Safety severity levels
Microsoft References
NEW QUESTION # 148
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