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Microsoft AI-102 Exam is a certification that validates a candidate's knowledge and skills in designing and implementing AI solutions on the Microsoft Azure platform. It is an advanced-level exam that requires a solid understanding of Azure services and tools, as well as expertise in AI technologies such as machine learning, natural language processing, and computer vision.

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Microsoft AI-102 Exam is an advanced-level certification that requires a deep understanding of AI technologies and their applications. Candidates are expected to have a strong grasp of AI concepts, programming languages, and data science principles. Passing AI-102 Exam is a great way to demonstrate your expertise in designing and implementing AI solutions using Microsoft Azure, and it can help you advance your career in the field of AI and machine learning.

Microsoft Designing and Implementing a Microsoft Azure AI Solution Sample Questions (Q237-Q242):

NEW QUESTION # 237
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 # 238
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:

Reference:
https://docs.microsoft.com/en-us/rest/api/faceapi/face/findsimilar


NEW QUESTION # 239
Drag and Drop Question
Drag and Drop Question
You train an Azure AI Custom Vision image classification model used in a mobile app.
You receive 1,000 new images that do not have any associated data.
You need to use the images to retrain the model. You must minimize the amount of time and effort required.
Which three actions should you perform in the Azure AI Custom Vision portal? 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:
Reason being that using the tools (suggested tags) would still apply to the new 1000 images item, even if those 1000 images doesn't associate with the original data pool. So, that means tagging even 1 less image using the suggested tags would still be faster than manually tagging them.
https://docs.microsoft.com/en-us/azure/cognitive-services/custom-vision-service/suggested-tags


NEW QUESTION # 240
Select the answer that correctly completes the sentence.

Answer:

Explanation:

Explanation


NEW QUESTION # 241
Select the answer that correctly completes the sentence.

Answer:

Explanation:


NEW QUESTION # 242
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