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Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Certification Exam is designed for professionals who want to demonstrate their expertise in designing and implementing AI solutions using Microsoft Azure. Designing and Implementing a Microsoft Azure AI Solution certification exam measures the skills and knowledge required to create intelligent applications and services that use machine learning and cognitive services. Candidates who pass AI-102 exam will earn the Microsoft Certified: Azure AI Engineer Associate certification.

Microsoft AI-102 certification exam is an essential step for professionals who want to advance their careers in the field of AI. Designing and Implementing a Microsoft Azure AI Solution certification demonstrates that the candidate has the skills and knowledge needed to design and implement AI solutions on the Microsoft Azure platform. It also shows that the candidate is committed to staying up-to-date with the latest trends and technologies in the field of AI.

The Microsoft AI-102 Exam is divided into several sections, with each section covering a specific aspect of designing and implementing Azure AI solutions. Candidates must demonstrate their ability to work with Azure's various AI services, such as Azure Cognitive Services, Azure Machine Learning, and Azure Bot Service. They must also be able to integrate these services with other Azure services, such as Azure Data Factory and Azure HDInsight.

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Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q174-Q179):

NEW QUESTION # 174
You build a custom Form Recognizer model.
You receive sample files to use for training the model as shown in the following table.

Which three files can you use to train the model? Each correct answer presents a complete solution. (Choose three.) NOTE: Each correct selection is worth one point.

A. File5
B. File4
C. File1
D. File2
E. File3
F. File6

Answer: A,B,C

Explanation:
Explanation
Input requirements
Form Recognizer works on input documents that meet these requirements:
Format must be JPG, PNG, PDF (text or scanned), or TIFF. Text-embedded PDFs are best because there's no possibility of error in character extraction and location.
File size must be less than 50 MB.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/form-recognizer/overview

NEW QUESTION # 175
You are building an app that will scan confidential documents and use the Language service to analyze the contents.
You provision an Azure Cognitive Services resource.
You need to ensure that the app can make requests to the Language service endpoint. The solution must ensure that confidential documents remain on-premises.
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:

NEW QUESTION # 176
You are developing a streaming Speech to Text solution that will use the Speech SDK and MP3 encoding.
You need to develop a method to convert speech to text for streaming MP3 data.
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:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/speech-service/how-to-use-codec-compressed-audio-input-streams?tabs=debian&pivots=programming-language-csharp

NEW QUESTION # 177
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:

Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-tutorial-pattern#what-did-this-tutorial-accomp

NEW QUESTION # 178
You are building a chatbot by using the Microsoft Bot Framework Composer as shown in the exhibit. (Click the Exhibit tab.)

The chatbot contains a dialog named GetUserDetails. GetUserDetails contains a TextInput control that prompts users for their name.
The user input will be stored in a property named name.
You need to ensure that you can dispose of the property when the last active dialog ends.
Which scope should you assign to name?

A. user
B. dialog
C. curn
D. conversation

Answer: B

Explanation:
The dialog scope associates properties with the active dialog. Properties in the dialog scope are retained until the dialog ends.
Incorrect Answers:
A: The conversation scope associates properties with the current conversation. Properties in the conversation scope have a lifetime of the conversation itself. These properties are in scope while the bot is processing an activity associated with the conversation (for example, multiple users together in a Microsoft Teams channel).
B: The user scope associates properties with the current user. Properties in the user scope do not expire. These properties are in scope while the bot is processing an activity associated with the user.
C: The turn scope associates properties with the current turn. Properties in the turn scope expire at the end of the turn.
Reference:
https://docs.microsoft.com/en-us/composer/concept-memory?tabs=v2x

NEW QUESTION # 179
......

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