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| Section | Weight | Objectives |
|---|---|---|
| Implement Generative AI Solutions | 10-15% | - Use Azure OpenAI Service for generative AI - Apply responsible AI practices - Implement prompt engineering techniques - Integrate Azure OpenAI models into applications |
| Implement Natural Language Processing Solutions | 20-25% | - Create conversational AI solutions with Azure AI Bot Service - Analyze text using Azure AI Language - Build question answering solutions - Translate text and speech - Implement speech capabilities using Azure AI Speech |
| Implement Computer Vision Solutions | 15-20% | - Implement Azure AI Face service - Process video and generate insights - Analyze images using Azure AI Vision - Read and process documents using Azure AI Document Intelligence - Implement object detection and image classification |
| Plan and Manage an Azure AI Solution | 15-20% | - Plan and configure secure AI solutions - Implement governance and compliance for AI solutions - Select appropriate Azure AI services and technologies - Manage AI costs and resource allocation |
| Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Design document processing pipelines - Implement semantic and vector search - Create custom skills for Azure AI Search - Implement Azure AI Search solutions |
| Implement Decision Support Solutions | 10-15% | - Monitor and optimize decision support solutions - Integrate Azure AI services into applications - Design and implement decision automation |
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NEW QUESTION # 93
You have an Azure subscription that contains an Azure OpenAI resource named AH.
You build a chatbot that will use AI1 to provide generative answers to specific questions.
You need to ensure that the responses are more creative and less deterministic.
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 generate less deterministic and more creative responses with Azure OpenAI chat completions, increase the Temperature setting. Temperature controls sampling randomness: higher values (e.g., ~0.8-1.0) yield more diverse/creative outputs; lower values (~0-0.2) are more deterministic.
The message being sent in the Messages collection is the user's prompt, so the correct role is ChatRole.User .
The role does not control creativity; it only tells the model who authored the message (system/assistant/user
/function). Creativity is governed by parameters such as Temperature (and, to a lesser extent, TopP ).
PresencePenalty biases against repeating seen tokens/topics but does not primarily increase creativity in the intended way.
So the code should look like:
new ChatCompletionsOptions()
{
Messages =
{
new ChatMessage(ChatRole.User, @ " < user prompt here > " ),
},
Temperature = ( float ) 1.0 ,
MaxTokens = 800 ,
};
Microsoft Azure AI Solution References
* Azure OpenAI Service - Chat Completions parameters (Temperature controls randomness/creativity; higher = more diverse results).
* Azure OpenAI Service - Message roles in chat ( system , user , assistant , function ) and their purposes.
* Azure OpenAI Service - Presence/Frequency penalties vs. Temperature (penalties reduce repetition; temperature changes creativity).
NEW QUESTION # 94
You are building a chatbot.
You need to use the Content Moderator service to identify messages that contain sexually explicit language.
Which section in the response from the service will contain the category score, and which category will be assigned to the message? To answer, select the appropriate options in the answer area, NOTE: Each correct selection is worth one point.
Answer:
Explanation:
NEW QUESTION # 95
You are building an agent that will retrieve the current time at a given location by using a custom API.
You need to test the functionality of the custom API.
How should you complete the command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 96
You are developing a service that records lectures given in English (United Kingdom).
You have a method named AppendToTranscriptFile that takes translated text and a language identifier.
You need to develop code that will provide transcripts of the lectures to attendees in their respective language.
The supported languages are English, French, Spanish, and German.
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:
You are developing a speech translation service for recording lectures given in English (United Kingdom).
The goal is to provide transcripts in multiple target languages: English, French, Spanish, and German.
Key requirements from the code snippet:
Source Language (Recognition Language):
config.SpeechRecognitionLanguage = " en-GB " ;
The input is English (UK).
Target Languages:
You need to define a list of supported target languages. Since English, French, Spanish, and German are supported, the correct syntax is:
var lang = new List < string > () { " en " , " fr " , " de " , " es " }; This uses ISO language codes expected by the Translator API ( " fr " = French, " de " = German, " es " = Spanish).
Recognizer Type:
Since this is speech translation, you must use:
using var recognizer = new TranslationRecognizer(config, audioConfig);
The TranslationRecognizer class is specifically for translating speech input into multiple languages.
Completed Code
static async Task TranslateSpeechAsync ()
{
var config = SpeechTranslationConfig.FromSubscription( " 69cad5cc-0ab3-4704-bdff-abf4aa07d85 " , " uksouth " ); var lang = new List < string > () { " en " , " fr " , " de " , " es " }; config.SpeechRecognitionLanguage = " en-GB " ; lang.ForEach(config.AddTargetLanguage); using var audioConfig = AudioConfig.FromDefaultMicrophoneInput(); using var recognizer = new TranslationRecognizer(config, audioConfig); var result = await recognizer.RecognizeOnceAsync(); if (result.Reason == ResultReason.TranslatedSpeech)
{
foreach ( var element in result.Translations)
{
AppendToTranscriptFile(element.Value, element.Key);
}
}
}
Final Answer (Answer Area Selections)
First Blank: { " en " , " fr " , " de " , " es " }
Second Blank: TranslationRecognizer
Microsoft References
Speech Translation with Speech SDK
TranslationRecognizer class
Speech service supported languages
NEW QUESTION # 97
You run the following command.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
Answer:
Explanation:
Explanation:
Box 1: Yes
http://localhost:5000/status
Also requested with GET, this verifies if the api-key used to start the container is valid without causing an endpoint query.
Box 2: Yes
The command saves container and LUIS logs to output mount at C:\output, located on container host Box 3: Yes
http://localhost:5000/swagger
The container provides a full set of documentation for the endpoints and a Try it out feature. With this feature, you can enter your settings into a web-based HTML form and make the query without having to write any code. After the query returns, an example CURL command is provided to demonstrate the HTTP headers and body format that's required.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-container-howto
NEW QUESTION # 98
......
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