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Earning the Microsoft AI-102 Certification demonstrates that you have the skills and knowledge needed to design and implement complex AI solutions using Microsoft Azure services. Designing and Implementing a Microsoft Azure AI Solution certification is ideal for professionals who want to advance their careers in the field of artificial intelligence, and it is a valuable asset for organizations that are looking to implement AI solutions in their operations.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q185-Q190):

NEW QUESTION # 185
You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.

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:

Explanation:
Box 1: Yes
Box 2: Yes
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-faces


NEW QUESTION # 186
You have a Custom Vision resource named acvdev in a development environment.
You have a Custom Vision resource named acvprod in a production environment.
In acvdev, you build an object detection model named obj1 in a project named proj1.
You need to move obj1 to acvprod.
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:

Comprehensive Detailed Explanation You trained an object detection model obj1 inside project proj1 on the acvdev Custom Vision resource and need to move it to the acvprod resource.
Moving a model between Custom Vision resources is done by exporting the project (not an iteration) from the source resource and importing it into the target resource.
* Step 1: GetProjects (acvdev) Retrieve the list of projects on the development resource to obtain the project ID of proj1 . The export operation requires the project ID.
* Step 2: ExportProject (acvdev) Call the Export Project API on the development resource to generate the portable project package (includes tags, images' metadata, iterations, settings). This is specifically intended for moving/cloning a project across resources or regions.
* Step 3: ImportProject (acvprod) Use the Import Project API on the production resource to create a new project from the exported package. This recreates the project (and associated iterations/metadata) under acvprod .
Notes:
* ExportIteration is for exporting a trained iteration to formats for edge/container or mobile use, not for transferring to another Custom Vision resource.
* UpdateProject is for changing metadata (name, description, domain) of an existing project and is not part of the move workflow.
* Custom Vision REST API - Projects: Export/Import https://learn.microsoft.com/azure/ai-services
/custom-vision-service/export-import-project
* Custom Vision REST API - Projects API (Get projects) https://learn.microsoft.com/rest/api
/customvision/training/projects
* Custom Vision - Export model vs. Export project guidance https://learn.microsoft.com/azure/ai-services
/custom-vision-service/export-your-model (describes iteration export purpose versus project portability) References (Microsoft Azure AI Solution)


NEW QUESTION # 187
You plan to build a chatbot to support task tracking.
You create a Language Understanding service named lu1.
You need to build a Language Understanding model to integrate into the chatbot. The solution must minimize development time to build the model.
Which four 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. (Choose four.)

Answer:

Explanation:

Explanation
1. Add a new application
2. Add a prebuilt domain intent ToDo (it has already utterances so we can skip this step)
3. Train
4. Publish


NEW QUESTION # 188
You develop a custom question answering project in Azure Al Language. The project will be used by a chatbot.
You need to configure the project to engage in multi-turn conversations. What should you do?

Answer: C

Explanation:
You are working with a custom question answering project in Azure AI Language (formerly QnA Maker).
The requirement is to enable the chatbot to engage in multi-turn conversations.
* Multi-turn conversation: This occurs when a bot needs to ask clarifying questions or present follow-up options to guide the user toward the right answer.
Now let's evaluate the options:
* A. Add alternate questions
* Alternate questions help improve query matching by allowing different phrasings of the same question.
* This does not enable multi-turn dialogue.
* B. Enable chit-chat
* Chit-chat adds conversational personality (e.g., greetings, small talk).
* Useful for user engagement but not for structured multi-turn dialogues.
* C. Add follow-up prompts #
* Follow-up prompts allow you to define next-step questions after an answer.
* They are the key mechanism in custom question answering to enable multi-turn conversation flows.
* Example: If the answer is about "subscriptions," the follow-up prompts might include "How to upgrade?" or "How to cancel?"
* D. Enable active learning
* Active learning helps improve accuracy by suggesting alternative phrasing for questions based on user feedback.
* This is for model refinement, not multi-turn conversation.
Thus, the correct way to configure the project for multi-turn conversations is to add follow-up prompts.
The answer: C. Add follow-up prompts
* Custom question answering in Azure AI Language - Multi-turn conversations
* Custom question answering overview


NEW QUESTION # 189
You have an Azure DevOps pipeline named Pipeline1 that is used to deploy an app. Pipeline1 includes a step that will create an Azure AI services account.
You need to add a step to Pipeline1 that will identify the created Azure AI services account. The solution must minimize development effort.
Which Azure Command-Line interface (CLI) command should you run?

Answer: C


NEW QUESTION # 190
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