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| Certification Vendor: | Microsoft |
|---|---|
| Exam Name: | Designing and Implementing a Microsoft Azure AI Solution |
| Exam Number: | AI-102 |
| Real Exam Qty: | 40-60 |
| Related Certifications: | Microsoft Certified: Azure AI Engineer Associate |
| Exam Format: | Case studies, Active screen questions, Drag-and-drop, Multiple-choice |
| Certificate Validity Period: | No expiration; certification remains valid unless Microsoft deprecates it |
| Exam Price: | $165 USD |
| Passing Score: | 700 (on a scale of 1-1000) |
| Available Languages: | Korean, Chinese (Simplified), English, Japanese |
| Exam Duration: | 120 minutes |
| 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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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Exam is a certification exam that focuses on testing the skills and knowledge of a candidate in designing and implementing AI solutions using Microsoft Azure. AI-102 Exam is intended for individuals who have experience in working with Azure AI services and tools and want to obtain an official certification from Microsoft.
NEW QUESTION # 186
You have a Conversational Language Understanding model.
You export the model as a JSON file. The following is a sample of the file.
What represents the Weather.Historic entity in the sample utterance?
Answer: D
NEW QUESTION # 187
You are building a chatbot that will provide information to users as shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Adaptive card
Box 2: an image
Reference:
https://docs.microsoft.com/en-us/microsoftteams/platform/task-modules-and-cards/cards/cards-reference
https://docs.microsoft.com/en-us/composer/how-to-send-cards?tabs=v1x
NEW QUESTION # 188
You are building an image sharing app that will use Azure AI to prevent users from sharing sexually explicit images.
You need to ensure that inappropriate images are identified correctly. The solution must minimize development effort.
What should you use?
Answer: B
NEW QUESTION # 189
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named get_text_to_be_translated. The text can be in one of many languages. The content of the text must remain within the Americas Azure geography.
You need to develop code to translate the text to a single language.
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 # 190
In Azure OpenAl Studio, you are prototyping a chatbot by using Chat playground.
You need to configure the chatbot to meet the following requirements:
. Reduce the repetition of words in conversations.
. Reduce the randomness of each response.
Which two parameters should you modify? To answer, select the appropriate parameters in the answer area.
NOTE: Each correct answer is worth one point.
Answer:
Explanation:
Explanation:
Here are the parameters that should be modified:
* Frequency Penalty: This parameter helps to reduce the repetition of words by applying a penalty to new tokens based on their existing frequency in the text so far. Increasing this value will discourage the model from repeating the same words.
* Temperature: This parameter controls the randomness of the responses. Lowering the temperature makes the output less random and more focused on the most probable outcomes. A lower value will result in more deterministic responses.
Steps to Adjust the Parameters
Frequency Penalty: Increase this value to reduce the repetition of words. Temperature: Decrease this value to reduce the randomness of each response.
Based on the image provided, the appropriate values to change are:
* Frequency penalty: Adjust this parameter to reduce word repetition.
* Temperature: Adjust this parameter to reduce randomness.
Example Adjustments
* Frequency penalty: Increase the value from 0 to a higher value, such as 0.5.
* Temperature: Decrease the value from 0.99 to a lower value, such as 0.5.
Here's how you would configure these settings in Azure OpenAI Studio:
* Set Frequency penalty to a higher value (e.g., 0.5).
* Set Temperature to a lower value (e.g., 0.5).
NEW QUESTION # 191
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