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Microsoft AI-102 Korean Actual Tests : Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version)
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AI-102: Designing and Implementing an Azure AI Solution Certification Path
The Microsoft Designing and Implementing an Azure AI Solution Certification includes only one AI-100 Exam.
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How much AI-102: Designing and Implementing an Azure AI Solution Exam Cost
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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-102
Introduction to AI-102: Designing and Implementing an Azure AI Solution Exam
Candidates for AI-102 Exam are seeking to prove fundamental knowledge and skills in Designing and Implementing an Azure AI Solution domain. Before taking this exam, aspirants ought to have a solid fundamental information of the concepts shared in preparation guide as well as basic understanding of Azure administration, Azure development, and DevOpss would give an added edge.
This exam validates the ability to use the various services within the Microsoft Azure Artificial Intelligence (AI) portfolio.
It is suggested that professionals accustomed to the ideas and also the technologies represented here by taking relevant training courses. Candidates are expected to have some hands-on experience on bot services that use Language Understanding , bots with Azure Application Insights, creating a GPU, FPGA, or CPU-based solution, implementing AI workflow.
After passing this exam, candidates get a certificate from Microsoft that helps them to demonstrate their proficiency to their clients and employers.
Microsoft AI-102 Korean Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Implement Computer Vision Solutions | - Analyze images and videos using Azure AI Vision - Extract information using OCR and form recognition - Implement custom vision models |
| Topic 2: Implement Generative AI Solutions | - Build retrieval-augmented generation (RAG) solutions - Implement Azure OpenAI Service solutions - Integrate prompt engineering techniques |
| Topic 3: Implement Natural Language Processing Solutions | - Translate and interpret language using Azure AI services - Implement question answering and conversational AI - Analyze text using Azure AI Language |
| Topic 4: Implement Knowledge Mining and Document Intelligence | - Enrich and index data for search scenarios - Implement document intelligence solutions - Build Azure AI Search solutions |
| Topic 5: Plan and Manage an Azure AI Solution | - Manage security, compliance, and responsible AI - Select appropriate Azure AI services - Plan solution requirements and architecture |
Microsoft Designing and Implementing a Microsoft Azure AI Solution (AI-102 Korean Version) Sample Questions:
학생들이 에세이 참고문헌을 찾는 데 사용할 솔루션을 구축하고 있습니다. 다음 코드를 사용하여 솔루션 구축을 시작하세요.
다음 각 문장에 대해, 문장이 맞으면 "예"를 선택하고, 그렇지 않으면 "아니요"를 선택하세요. 참고: 정답은 1점입니다.
Correct Answer:
Explanation:
Statements Analysis
The code will detect the language of documents.
The method used is RecognizeLinkedEntities .
This extracts linked entities and provides Wikipedia references but does not perform language detection.
For language detection, you must call DetectLanguage() .
The answer: No
The url attribute returned for each linked entity will be a Bing search link.
The RecognizeLinkedEntities API returns a Url property for each entity that points to the Wikipedia page of the entity.
It does not return Bing links.
The answer: No
The matches attribute returned for each linked entity will provide the location in a document where the entity is referenced.
The matches collection contains objects with offset and length properties, which indicate where in the text the entity appeared.
This is correct.
The answer: Yes
Verified Answer
The code will detect the language of documents # No
The url attribute returned for each linked entity will be a Bing search link # No The matches attribute returned for each linked entity will provide the location in a document where the entity is referenced # Yes Microsoft References Azure Text Analytics - Recognize linked entities Text Analytics .NET SDK: RecognizeLinkedEntities
아래에 제시된 방법을 사용하여 Azure AI 서비스 리소스를 프로비저닝할 계획입니다.
스캔한 영수증을 텍스트로 변환하는 표준 계층 Azure 리소스를 생성해야 합니다. 해당 메서드를 어떻게 호출해야 할까요? 답변 영역에서 적절한 옵션을 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
당신은 챗봇을 만들고 있습니다.
사용자가 제품 설정 과정을 안내할 수 있도록 봇을 구성해야 합니다.
어떤 유형의 대화를 사용해야 합니까?
- A. 구성 요소
- B. 적응형
- C. 폭포
- D. 액션
Correct Answer: C 🗳️
Azure Cognitive Search를 사용하여 지식베이스를 개발하고 있습니다.
기술적 요구 사항을 충족하려면 위키 콘텐츠를 처리해야 합니다.
솔루션에 무엇을 포함해야 합니까?
- A. 언어 감지 기술과 텍스트 번역 기술을 포함하는 기술 세트에 연결된 Azure Blob 저장소용 인덱서
- B. 언어 감지 기술을 포함하는 기술 세트에 연결된 Azure Blob 저장소용 인덱서
- C. 문서 추출 기술과 텍스트 번역 기술을 포함하는 기술 세트에 연결된 Azure Cosmos DB용 인덱서
- D. 언어 감지 기술과 텍스트 번역 기술을 포함하는 기술 세트에 연결된 Azure Cosmos DB용 인덱서
Correct Answer: C 🗳️
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
당신은 챗봇을 만들고 있습니다.
지식 기반을 쿼리하려면 챗봇을 구성해야 합니다.
어떤 대화 클래스를 사용해야 하나요?
- A. 스킬다이얼로그
- B. 적응형 대화 상자
- C. QnAMakerDialog
- D. 컴포넌트 다이얼로그
Correct Answer: C 🗳️
Explanation: Only visible for Actual4test members. You can sign-up / login (it's free).
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