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Reference: https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900
The benefit of obtaining the AI-900: Microsoft Azure AI Fundamentals Exam Certification
For people working in technology, having an Azure certification becomes important. The high demand for Azure certified experts, the high salary and benefits. Microsoft Azure AI Fundamentals Exam Certification give you skills and knowledge about a particular area of technology.
The benefit that you receive after passing the AI-900: Microsoft Azure AI Fundamentals Exam Outlook and Modules is greater than the effort which you put in to pass this exam. Provide you a growth in terms of your knowledge and will open many opportunities for you. Sentiment of the IT companies will increase because of your skilled work. Candidates who are verified with the AI-900: Microsoft Azure AI Fundamentals Exam will get an advantage in job interviews. Sites such as Microsoft Learning comes with a collection of certifications, tips and articles which you can use to prepare for the exam.
Subjects of the test can be found on Microsoft Learning website. Clustering of data is one of the most important task on AI. It is used for improving accuracy. Labels are used to achieve this. Journey map is used to achieve this. Data grouping is used to achieve this. Validation is a process of finding what the probabilities are for the data to contain a given property. Remember to take the exam as early as possible.
Guides, strategies and testimonials you can find on the internet about the exam. Helpful to deal with the challenges in the exam. Attempt to use the free copies of the Microsoft Office Excel for this exam. Modeling approach for this exam is to use the AI technology through an artificial neural network.
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Microsoft AI-900 Korean Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Features of computer vision workloads on Azure | 15-20% | - Computer vision solutions
|
| Fundamentals of machine learning on Azure | 25-30% | - Core machine learning concepts
|
| Features of natural language processing (NLP) workloads on Azure | 30-35% | - Text analytics and language understanding
|
| Describe AI workloads and considerations | 20-25% | - Fundamentals of artificial intelligence concepts
|
Microsoft Azure AI Fundamentals (AI-900 Korean Version) Sample Questions:
당신은 AI 시스템을 구축하고 있습니다.
Microsoft의 책임 있는 AI에 대한 투명성 원칙을 서비스가 충족하도록 하려면 어떤 작업을 포함해야 할까요?
- A. 교육 데이터 세트가 모집단을 대표하는지 확인하세요.
- B. 모든 시각적 요소에 화면 판독기가 읽을 수 있는 관련 텍스트가 있는지 확인하세요.
- C. 개발자가 코드를 디버깅하는 데 도움이 되는 문서를 제공합니다.
- D. 자동 크기 조정을 활성화하여 수요에 따라 서비스가 확장되도록 합니다.
Correct Answer: C 🗳️
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문장을 올바르게 완성하는 답을 선택하세요.
Correct Answer:
Explanation:
"Optical Character Recognition (OCR) extracts text from handwritten documents." According to the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Identify features of computer vision workloads," Optical Character Recognition (OCR) is a computer vision capability that enables AI systems to detect and extract printed or handwritten text from images, scanned documents, and photographs.
Microsoft Learn explains that OCR uses machine learning algorithms to analyze visual data, locate regions containing text, and then convert that text into machine-readable digital format. This capability is essential for automating processes such as document digitization, form processing, and data extraction.
OCR technology is provided through services such as the Azure Cognitive Services Computer Vision API and Azure Form Recognizer. The Computer Vision API's OCR feature can extract text from both typed and handwritten sources, including receipts, invoices, letters, and forms. Once extracted, this text can be processed, searched, or stored electronically, enabling automation and efficiency in document management systems.
Let's review the incorrect options:
* Object detection identifies and locates objects in an image by drawing bounding boxes (e.g., detecting vehicles or people).
* Facial recognition identifies or verifies individuals by comparing facial features.
* Image classification assigns an image to one or more predefined categories (e.g., "dog," "car," "tree").
None of these perform the task of extracting textual content from images - that is uniquely handled by Optical Character Recognition (OCR).
Therefore, based on the AI-900 official study content, the verified and correct answer is Optical Character Recognition (OCR), as it specifically extracts text (printed or handwritten) from image-based documents.
문서의 텍스트를 요약하려면 어떤 Azure OpenAI 모델을 사용해야 합니까?
- A. Codex
- B. Whisper
- C. DALL-E
- D. GPT
Correct Answer: D 🗳️
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다음 각 문장에 대해, 문장이 사실이라면 '예'를 선택하세요. 그렇지 않으면 '아니요'를 선택하세요.
참고: 정답 하나당 1점입니다.
Correct Answer:
Explanation:
Azure Bot Service and Azure Cognitive Services can be integrated. # Yes
* Azure Bot Service engages with customers in a conversational manner. # Yes
* Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets. # Yes
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All three statements are true, as confirmed by the Microsoft Azure AI Fundamentals (AI-900) official study guide and Microsoft Learn module "Explore conversational AI." The Azure Bot Service is Microsoft's platform for building, deploying, and managing intelligent bots that can communicate naturally with users across various channels (web, Teams, Facebook Messenger, etc.).
* Azure Bot Service and Azure Cognitive Services can be integrated # YesMicrosoft Learn specifies that Azure Bot Service can be enhanced with Azure Cognitive Services such as Language Understanding (LUIS), QnA Maker, and Speech Services to add intelligence. For example, integration with LUIS allows bots to understand user intent and context, while QnA Maker helps them respond accurately to FAQs. As stated in the official documentation: "The Azure Bot Service can be combined with Cognitive Services to create bots that understand language, speech, and meaning."
* Azure Bot Service engages with customers in a conversational manner # YesThe primary function of Azure Bot Service is to create conversational AI agents that interact naturally with users. These bots simulate human-like dialogue using text or speech. According to Microsoft Learn, "Bots created using Azure Bot Service communicate with users in a conversational format through natural language."
* Azure Bot Service can import frequently asked questions (FAQ) to question and answer sets # YesAzure Bot Service can integrate with the QnA Maker (now part of Azure Cognitive Service for Language) to automatically import FAQs from existing documents or web pages and generate a knowledge base of question-answer pairs. This allows the bot to respond intelligently to customer queries.
In conclusion, Azure Bot Service supports intelligent, conversational interaction, integrates seamlessly with Cognitive Services, and can use QnA Maker to import and manage FAQ-based knowledge sets-making all three statements true.
QnA Maker를 사용하여 지식 베이스를 구축하고 있습니다. 지식 베이스를 채우는 데 사용할 수 있는 파일 형식은 무엇인가요?
- A. PPTX
- B. XML
- C. PDF
- D. ZIP
Correct Answer: C 🗳️
Explanation: Only visible for BraindumpsIT members. You can sign-up / login (it's free).
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