최신버전AI-102인증덤프데모문제완벽한덤프문제

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Microsoft AI-102 자격증 시험 준비를 위해서는 AI 개념에 대한 좋은 이해도와 Microsoft Azure 작업 경험이 필요합니다. Azure AI 서비스에 익숙하고 이를 사용하여 AI 솔루션을 구축할 수 있어야합니다. Microsoft는 자가 진행 온라인 강좌, 교실 교육 및 현장 실습을 포함한 다양한 교육 자료를 제공하여 시험 준비를 돕습니다. 또한, 연습 시험을 볼 수 있으며 스터디 그룹에 참여하여 시험 형식과 내용을 더 잘 이해할 수 있습니다.

마이크로소프트 AI-102 시험은 마이크로소프트 Azure 플랫폼에서 인공지능(AI) 솔루션을 설계하고 구현하는 기술과 지식을 검증하고자 하는 전문가들을 대상으로 설계되었습니다. 이 시험은 Cognitive Services, Machine Learning 및 Bot Service와 같은 여러 Azure 서비스를 사용하여 지능형 애플리케이션을 구축하는 개발자, 데이터 과학자 및 AI 엔지니어를 대상으로 합니다.

>> AI-102인증덤프데모문제 <<

AI-102인증덤프데모문제최신버전 덤프샘플문제

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AI-102 인증 시험은 AI 솔루션 설계, AI 워크 플로 구현, AI 모델 배포 및 AI 솔루션 유지 관리를 포함하여 광범위한 주제를 다룹니다. 이 시험은 Azure 서비스, 데이터 과학 및 기계 학습에 대한 경험이있는 전문가를 위해 설계되었습니다. 인증 시험은 Azure Cognitive Services, Azure Machine Learning 및 기타 Azure AI 도구에 대한 후보자의 지식을 테스트하도록 설계되었습니다.

최신 Azure AI Engineer Associate AI-102 무료샘플문제 (Q333-Q338):

질문 # 333
You have the following files:
- File1.pdf
- File2.jpg
- File3.docx
- File4.webp
- File5.png
Which files can you analyze by using Azure AI Content Understanding?

A. File1.pdf, File2.jpg, File3.docx, and File5.png only
B. File1.pdf, File2.jpg, File3.docx, File4.webp, and File5.png
C. File1.pdf, File2.jpg, and File3.docx only
D. File1.pdf, File2.jpg, and File5.png only
E. File1.pdf and File3.docx only

정답：A

설명：
Only .webp is not supported. The other file formats are all supported.
Note: Azure AI Content Understanding service quotas and limits
Supported File Types:
.pdf [File1]
.tiff
.jpg, .png, .bmp, .heif [File2, File5]
.docx, .xlsx, .pptx [File3]
.txt
.html, .md, .rtf
.eml, .msg
.xml
Reference:
https://learn.microsoft.com/en-us/azure/ai-services/content-understanding/service-limits

질문 # 334
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.

정답：

설명：

Explanation:
The constraint states that the content of the text must remain within the Americas Azure geography.
* "api.cognitive.microsofttranslator.com": This is the global endpoint, which doesn't guarantee data residency in a specific geography.
* "api-apc.cognitive.microsofttranslator.com": This endpoint refers to the Asia Pacific geography.
* "api-nam.cognitive.microsofttranslator.com": This endpoint refers to the North and South America (NAM) geography.
Therefore, to meet the data residency requirement for the Americas, you must select "api-nam.cognitive.
microsofttranslator.com".
The requirement is to translate the text to a single language. The input text can be in "one of many languages," meaning the source language isn't fixed and should be detected automatically. The language to translate to is implied to be English (en) based on the options available and common translation scenarios.
* "/translate?from=en": This is incorrect because it specifies the source language as English, which contradicts the "text can be in one of many languages" requirement (implying automatic source language detection).
* "/translate?suggestedFrom=en": This is not the standard way to initiate a translation request and seems to suggest a source language, which is unnecessary if auto-detection is desired/possible.
* "/translate?to=en": This is the correct and standard way to request a translation where the source language is automatically detected, and the target language is English (en). This fulfills the translation requirement.
* "/detect?to=en" / "/detect?from=en": These endpoints are used for language detection and not for the translation itself. The prompt explicitly asks to develop code to translate the text.

질문 # 335
You have the following C# function.
static void MyFunction(TextAnalyticsClient textAnalyticsClient, string text) var response = textAnalyticsClient.ExtractKeyPhrases(text); Console.WriteLine("Key phrases:"); foreach (string keyphrase in response.Value) Console.WriteLine($"{keyphrase)");
}
You call the function by using the following code.
MyFunction(textAnalyticsClient, "the quick brown fox jumps over the lazy dog"); Following 'Key phrases', what output will you receive?

A. jurps over the
B. the quick brown fox jumps over the lazy dog
C. The quick
The lazy
D. quick brown fox
lazy dog

정답：D

설명：
To determine the output of the provided C# function when calling MyFunction with the text "the quick brown fox jumps over the lazy dog", we need to understand the behavior of the ExtractKeyPhrases method from the Azure Text Analytics SDK.
The ExtractKeyPhrases method is designed to extract important phrases from a given text. These key phrases typically represent the main subjects or entities within the text.
Given the text "the quick brown fox jumps over the lazy dog," the likely key phrases extracted by the Azure Text Analytics service would be the main entities or noun phrases.

질문 # 336
You have an Azure subscription that contains an Azure Al Content Safety resource named CS1. You need to use the SDK to call CS1 to identify requests that contain harmful content. How should you complete the code? lo answer, select the appropriate options m the answer area.
NOTE: Each correct selection is worth one point

정답：

설명：

Explanation:

질문 # 337
You have a blog that allows users to append feedback comments. Some of the feedback comments contain harmful content that includes discriminatory language.
You need to create a prototype of a solution that will detect the harmful content. The solution must minimize development effort.
Which two actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.

A. From the Azure portal, create an Azure Al Content Safety resource.
B. From the Azure portal, create an Azure OpenAI resource.
C. Sign in to Azure Al Foundry and select Safety + security.
D. Sign in to Content Safety Studio and select Moderate text content.
E. Sign in to Content Safety Studio and select Protected material detection for text.

정답：A,D

설명：
To quickly prototype harmful-content detection (e.g., discriminatory language) with minimal development, you should provision an Azure AI Content Safety resource in the Azure portal and then try it in Content Safety Studio using "Moderate text content." Content Safety Studio lets you test text moderation, tune thresholds, and export sample code without writing much code up front. Creating an Azure OpenAI resource or using "Protected material detection for text" isn't required for abusive/hate moderation; "protected material" targets copyrighted/credential leakage scenarios, not general toxicity.
Microsoft References:
* Quickstart: Analyze text content (use Moderate text content in the studio; prerequisite is to create a Content Safety resource). Microsoft Learn
* Azure AI Content Safety overview

질문 # 338
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