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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Exam Duration: | 120 minutes |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Passing Score: | 700 (on a scale of 1-1000) |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Exam Format: | Active screen questions, Case studies, Multiple-choice, Drag-and-drop |
| Available Languages: | Japanese, English, Chinese (Simplified), Korean |
| Real Exam Qty: | 40-60 |
| Exam Price: | $165 USD |
| Sample Questions: | Microsoft AI-102 Sample Questions |
| Exam Way: | In-person at Pearson VUE testing centers or online proctored exam |
| Pre Condition: | Recommended: Understanding of Azure services, REST APIs, C#, Python, or JavaScript. No mandatory prerequisites, but Azure Administrator or Developer background is beneficial. |
| Official Syllabus URL: | https://learn.microsoft.com/en-us/credentials/certifications/exams/ai-102/ |
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NEW QUESTION # 257
You are developing a text processing solution.
You have the function shown below.
Answer:
Explanation:
Explanation:
The output will include the following words: our and included. # No
The output will include the following words: Paris, Eiffel, and Tower. # Yes The function will output all the key phrases from the input string to the console. # No Comprehensive Detailed Explanation Let's examine the function:
static void GetKeyWords ( TextAnalyticsClient textAnalyticsClient, string text)
{
var response = textAnalyticsClient.RecognizeEntities(text);
Console.WriteLine( " Key words: " );
foreach (CategorizedEntity entity in response.Value)
{
Console.WriteLine( $ " {entity.Text} " );
}
}
* The function uses RecognizeEntities from the Azure Text Analytics SDK.
* RecognizeEntities detects and categorizes named entities in text (such as locations, people, organizations, dates, etc.).
* It does not extract all words or key phrases.
* For extracting key phrases, you would use ExtractKeyPhrases , not RecognizeEntities .
* " The output will include the following words: our and included. "
* These are common words, not entities. They will not appear.
* Answer: No
* " The output will include the following words: Paris, Eiffel, and Tower. "
* These are named entities (location, landmark). They will be recognized and returned.
* Answer: Yes
* " The function will output all the key phrases from the input string to the console. "
* No. The function extracts entities, not key phrases. Key phrases would require ExtractKeyPhrases
.
* Answer: No
Evaluating the statements:
NEW QUESTION # 258
You have an Azure subscription that contains an Azure OpenAI resource named AH.
You need to analyze an image to obtain a text descnption.
Which four actions should you perform in sequence from 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:
* To analyze images with Azure OpenAI, you must use a GPT-4 model with vision support (model version vision-preview).
* This requires deploying a GPT-4 model for vision.
* Then you use the Chat playground (not completions, not DALL-E) since you want analysis, not generation.
* You need to give the assistant instructions in the system message field (e.g., "You are an AI assistant that describes images").
* Finally, you upload an image and prompt the model to describe it.
Key Knowledge:
* Create a new deployment, select a GPT-4 model, and set Model version to vision-preview.
* Because GPT-4 with vision is required.
* Open Chat playground and select the deployed model.
* Vision capabilities are accessed through the Chat playground.
* In the System message field, enter: "You are an AI assistant that describes images."
* This sets the assistant's role.
* In the Chat session pane, enter a text prompt of "Describe this image," and upload an image by using the attachment button.
* This triggers the model to analyze and describe the image.
Correct Sequence:
* Create a new deployment, select a GPT-4 model, and set Model version to vision-preview.
* Open Chat playground and select the deployed model.
* In the System message field, enter: You are an AI assistant that describes images.
* In the Chat session pane, enter: Describe this image, and upload an image by using the attachment button.
Verified Answer (Correct Order):
Microsoft References:
* Azure OpenAI vision capabilities
* Azure OpenAI Studio overview
NEW QUESTION # 259
You have an Azure AI Search solution and a collection of blog posts that include a category field.
You need to index the posts. The solution must meet the following requirements:
- Include the category field in the search results.
- Ensure that users can search for words in the category field.
- Ensure that users can perform drill down filtering based on category.
Which index attributes should you configure for the category field?
Answer: A
Explanation:
Retrievable: Include the category field in the search results.
Searchable: Ensure that users can search for words in the category field.
Facetable: Ensure that users can perform drill down filtering based on category.
https://docs.microsoft.com/en-us/azure/search/search-faceted-navigation
NEW QUESTION # 260
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 # 261
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:
Explanation:
NEW QUESTION # 262
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