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Microsoft AI-102: Designing and Implementing a Microsoft Azure AI Solution Exam is a certification exam designed to test your knowledge of designing and implementing AI solutions using Microsoft Azure technologies. AI-102 Exam is intended for the individuals who have a strong understanding of Microsoft Azure AI services and want to demonstrate their expertise in designing and implementing AI solutions.
Microsoft AI-102 (Designing and Implementing a Microsoft Azure AI Solution) Certification Exam is a highly recognized and sought-after certification for professionals who are interested in AI and want to work with Azure AI solutions. Designing and Implementing a Microsoft Azure AI Solution certification exam is designed to test the knowledge and skills required to design and implement AI solutions using Azure services. It is an advanced level exam that requires the candidate to have a deep understanding of AI and Azure services.
>> Certification AI-102 Test Questions <<
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The AI-102 Certification Exam is intended for professionals who have experience in designing and implementing AI solutions on the Microsoft Azure platform. Candidates should have a solid understanding of the Azure platform and be familiar with the tools and technologies used to develop and deploy AI solutions. They should also have experience in working with data and be familiar with data science concepts.
NEW QUESTION # 307
You have 100,000 images.
You need to build an app that will perform the following actions:
* Identify road signs in the images and extract the text on the signs.
* Analyze the text to identify well-known locations.
The solution must minimize development effort.
What should you use for each action? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
The app must:
Identify road signs and extract text from images
This is an OCR (Optical Character Recognition) task.
Azure AI Vision provides OCR capabilities to detect and extract text from images (including road signs).
Correct choice: Azure AI Vision.
Analyze the text to identify well-known locations
Once text is extracted, you need to detect if it refers to well-known places (e.g., cities, landmarks).
This is a Named Entity Recognition (NER) problem.
Azure AI Language service includes entity recognition for identifying locations, people, organizations, etc.
Correct choice: Azure AI Language.
Other options:
Azure AI Document Intelligence # Focused on structured documents (invoices, forms), not road signs.
Azure AI Search # Useful for indexing and search, not text extraction or entity recognition.
Correct Answer Matrix:
Extract the text # Azure AI Vision
Identify well-known locations # Azure AI Language
Microsoft References
Azure AI Vision - OCR text extraction
Azure AI Language - Named Entity Recognition (NER)
NEW QUESTION # 308
You have an Azure Subscription that contains an Azure OpenAI resource named AI1 and a user named User1.
You need to ensure that User1 can add custom data sources to AI1. The solution must follow the principle of least privilege.
Which role should you assign to User1?
Answer: D
Explanation:
* The requirement is to allow User1 to add custom data sources to an Azure OpenAI resource (AI1).
* Following the principle of least privilege means granting only the specific rights required.
* The Cognitive Services OpenAI Contributor role allows management of Azure OpenAI resources, including attaching custom data sources for RAG (retrieval-augmented generation).
* The Cognitive Services Contributor role is broader and grants access to all cognitive services, which violates least privilege.
* Search Service Contributor and Search Index Data Contributor are roles for Azure AI Search, not for managing data sources on Azure OpenAI.
Microsoft References:
* Azure built-in roles: Cognitive Services OpenAI Contributor
NEW QUESTION # 309
You are developing an application that includes language translation.
The application will translate text retrieved by using a function named getTextToBeTranslated. 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 # 310
You are examining the Text Analytics output of an application.
The text analyzed is: "Our tour guide took us up the Space Needle during our trip to Seattle last week." The response contains the data shown in the following table.
Which Text Analytics API is used to analyze the text?
Answer: B
NEW QUESTION # 311
You are developing a call to the Face API. The call must find similar faces from an existing list named employeefaces. The employeefaces list contains 60,000 images.
How should you complete the body of the HTTP request? To answer, drag the appropriate values to the correct targets. Each value may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: LargeFaceListID
LargeFaceList: Add a face to a specified large face list, up to 1,000,000 faces.
Note: Given query face's faceId, to search the similar-looking faces from a faceId array, a face list or a large face list. A "faceListId" is created by FaceList - Create containing persistedFaceIds that will not expire. And a
"largeFaceListId" is created by LargeFaceList - Create containing persistedFaceIds that will also not expire.
Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar
NEW QUESTION # 312
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