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| Section | Objectives |
|---|---|
| Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Integrate prompt engineering techniques - Implement Azure OpenAI Service solutions |
| Plan and Manage an Azure AI Solution | - Plan solution requirements and architecture - Manage security, compliance, and responsible AI - Select appropriate Azure AI services |
| Implement Computer Vision Solutions | - Implement custom vision models - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition |
| Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Implement question answering and conversational AI - Analyze text using Azure AI Language |
| Implement Knowledge Mining and Document Intelligence | - Implement document intelligence solutions - Build Azure AI Search solutions - Enrich and index data for search scenarios |
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NEW QUESTION # 128
You have a chatbot that was built by using Microsoft Bot Framework and deployed to Azure.
You need to configure the bot to support voice interactions. The solution must support multiple client apps.
Which type of channel should you use?
Answer: B
Explanation:
The requirement is for supporting voice interactions across multiple client apps.
Cortana is deprecated and limited to Cortana channels only.
Microsoft Teams is app-specific and not suited for multiple client apps.
Direct Line Speech is designed to connect bots with Speech SDK-enabled clients, enabling voice-first bots that can work across multiple applications and devices.
Therefore, Direct Line Speech is the correct channel.
NEW QUESTION # 129
You are building a chatbot for a Microsoft Teams channel by using the Microsoft Bot Framework SDK. The chatbot will use 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:
Reference:
https://docs.microsoft.com/en-us/dotnet/api/microsoft.bot.builder.activityhandler.onmembersaddedasync?view=botbuilder-dotnet-stable
NEW QUESTION # 130
Which database transaction property ensures that transactional changes to a database are preserved during unexpected operating system restarts?
Answer: D
NEW QUESTION # 131
Which database transaction property ensures that transactional changes to a database are preserved during unexpected operating system restarts?
Answer: D
Explanation:
* The D in ACID stands for Durability.
* Durability guarantees that once a transaction is committed, the changes are permanent, even in the case of power loss, crashes, or OS restarts.
* Atomicity = all-or-nothing.
* Consistency = valid state transitions.
* Isolation = transactions run independently without interference.
The answer: A. durability
NEW QUESTION # 132
You have an Azure subscription that contains an Azure Al Content Safety resource.
You are building a social media app that will enable users to share images.
You need to configure the app to moderate inappropriate content uploaded by the users.
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:
The question describes:
An Azure subscription with an Azure AI Content Safety resource.
A social media application where users can upload images.
The requirement is to moderate inappropriate content in those uploaded images.
In Azure AI Content Safety SDKs:
You create a ContentSafetyClient by providing the endpoint and key.
The ContentSafetyClient exposes methods such as:
AnalyzeText() # For text moderation
AnalyzeImage() # For image moderation
Let's review the code structure:
public static void Analyze ( AnalyzeImageOptions request )
{
var endpoint = Environment.GetEnvironmentVariable( " ENDPOINT " );
var key = Environment.GetEnvironmentVariable( " KEY " );
var client = new ContentSafetyClient( new Uri(endpoint), new AzureKeyCredential(key)); return client.AnalyzeImage(request);
}
First dropdown: must be ContentSafetyClient to instantiate the correct client for Azure AI Content Safety.
Second dropdown: since the requirement is image moderation, we must call client.AnalyzeImage(request) .
Other options:
BlocklistClient # used for custom blocklists, not full moderation.
TextCategoriesAnalysis # refers to text analysis categories, not suitable here.
AnalyzeText # would be used only for text moderation.
Therefore, the correct completion is:
ContentSafetyClient
client.AnalyzeImage(request)
The Answer:
First dropdown: ContentSafetyClient
Second dropdown: client.AnalyzeImage(request)
Microsoft References
Azure AI Content Safety - Analyze images
Azure AI Content Safety SDK documentation
ContentSafetyClient class
NEW QUESTION # 133
......
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