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Microsoft AI-102 certification exam is designed for professionals who want to validate their skills and knowledge in designing and implementing AI solutions on the Microsoft Azure platform. AI-102 exam focuses on various AI services and tools offered by Azure, including natural language processing, computer vision, speech recognition, and more. Candidates who Pass AI-102 Exam can demonstrate their ability to design and implement AI solutions that can improve business processes, enhance customer experience, and drive innovation.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q156-Q161):

NEW QUESTION # 156
You have a training dataset that contains 10,000 PDF documents. The documents contain scanned books, comics, and magazines.
You are building a solution that will use Azure Al and a custom model.
You need to train the model by using Language Studio. The solution must meet the following requirements:
* Tag each item as a book, comic, or magazine.
* Minimize development effort.
What should you use?

Answer: C


NEW QUESTION # 157
You have an Azure subscription that contains an Azure OpenA1 resource named AH.
You plan to build an app named App1 that will write press releases by using AM.
You need to deploy an Azure OpenA1 model for Appl. The solution must minimize development effort.
Which three actions should you perform in sequence in Azure OpenAI Studio? 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:

Comprehensive Detailed Explanation
The requirement:
You have an Azure OpenAI resource.
You want to build an app (App1) that writes press releases.
The solution must minimize development effort.
Step 1 - Select the model deployment
Since press release generation requires natural language generation, the best choice is GPT-3.5 Turbo.
The text-embedding-ada-002 model is used for semantic search and embeddings, not text generation, so it's not appropriate here.
Step 2 - Apply a system message template
Azure OpenAI Studio provides pre-built system message templates to speed up development.
For writing press releases, the correct template is the Marketing Writing Assistant template.
This minimizes development effort since it already configures prompt engineering for marketing copywriting.
Step 3 - Deploy the solution
Once the deployment and template are configured, you deploy the solution to a new web app so it can be used as App1.
Correct Sequence:
Create a deployment that uses the GPT-3.5 Turbo model.
Apply the Marketing Writing Assistant system message template.
Deploy the solution to a new web app.
Microsoft References
Azure OpenAI Studio - Getting Started
Azure OpenAI GPT-3.5 models
Azure OpenAI Studio system message templates


NEW QUESTION # 158
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 # 159
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation:


NEW QUESTION # 160
You train a Custom Vision model to identify a company's products by using the Retail domain.
You plan to deploy the model as part of an app for Android phones.
You need to prepare the model for deployment.
Which three 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:
In user want to change to deploy offline model
1. Change model domain to compact model
2. Retrain compact model
3. Export model
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/export-your-model


NEW QUESTION # 161
......

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