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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Plan and manage an Azure AI solution | 20-25% | - Plan solutions aligned with responsible AI principles - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Monitor, optimize, and secure AI solutions - Create and configure Azure AI resources - Select suitable AI models - Select appropriate Microsoft Foundry Services |
| Topic 2: Implement natural language processing solutions | 15-20% | - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots - Implement translation and summarization |
| Topic 3: Implement generative AI solutions | 15-20% | - Deploy and manage generative models - Apply prompt engineering and fine-tuning - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Implement model monitoring and feedback |
| Topic 4: Implement computer vision solutions | 10-15% | - Process and index video content - Extract text and handwriting from images - Analyze images and detect objects/features - Integrate vision capabilities into applications - Build and deploy custom vision models |
| Topic 5: Implement an agentic solution | 5-10% | - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration - Understand agent use cases and types - Build agents with Microsoft Foundry Agent Service |
| Topic 6: Implement knowledge mining and information extraction solutions | 15-20% | - Implement intelligent search and retrieval - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes - Ingest and process structured/unstructured data |
ITDumpsKR에는 IT인증시험의 최신Microsoft AI-102학습가이드가 있습니다. ITDumpsKR 는 여러분들이Microsoft AI-102시험에서 패스하도록 도와드립니다. Microsoft AI-102시험준비시간이 충분하지 않은 분은 덤프로 철저한 시험대비해보세요. 문제도 많지 않고 깔끔하게 문제와 답만으로 되어있어 가장 빠른 시간내에Microsoft AI-102시험합격할수 있습니다.
질문 # 353
You have an Azure Al Search resource named Search1.
You have an app named App1 that uses Search1 to index content.
You need to add a custom skill to App1 to ensure that the app can recognize and retrieve properties from invoices by using Search1.
What should you include in the solution?
정답：A
질문 # 354
You are building a natural language model.
You need to enable active learning.
What should you do?
정답：C
설명：
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/luis-how-to-review-endpoint-utterances#log-user-queries-to-enable-active-learning
질문 # 355
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
질문 # 356
You are developing an application that will use the Azure Al Vision client library. The application has the following code.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
Explanation:
The given code is using the Azure AI Vision client library with the method:
image_analysis = client.analyze_image_in_stream(
image=image_stream,
visual_features=[
VisualFeatureTypes.tags,
VisualFeatureTypes.description
]
)
Breakdown of the functionality:
* VisualFeatureTypes.tags # Extracts tags (labels) describing the image (e.g., "dog", "tree", "outdoor"), including confidence scores.
* VisualFeatureTypes.description # Generates captions (natural-language sentences) that describe the image.
* The code explicitly iterates through tags and captions, printing both with their confidence values.
* The image is read from the local file system using:
* with open(local_image, "rb") as image_stream:
* Face recognition is not included because the code does not request VisualFeatureTypes.faces.
Correct Answer Matrix:
* Face recognition # No
* Tags with confidence # Yes
* Read image from local file system # Yes
* Azure AI Vision features (tags, description, faces, etc.)
* analyze_image_in_stream method
질문 # 357
You are reviewing the design of a chatbot. The chatbot includes a language generation file that contains the following fragment.
# Greet(user)
- ${Greeting()}, ${user.name}
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
정답：
설명：
Reference:
https://docs.microsoft.com/en-us/composer/how-to-ask-for-user-input
질문 # 358
......
IT업계에 종사하는 분들은 치열한 경쟁을 많이 느낄것입니다. 치열한 경쟁속에서 자신의 위치를 보장하는 길은 더 많이 배우고 더 많이 노력하는것 뿐입니다.국제적으로 인정받은 IT인증자격증을 취득하는것이 제일 중요한 부분이 아닌가 싶기도 합니다. 다른 분이 없는 자격증을 내가 소유하고 있다는 생각만 해도 뭔가 안전감이 느껴지지 않나요? 더는 시간낭비하지 말고ITDumpsKR의Microsoft인증 AI-102덤프로Microsoft인증 AI-102시험에 도전해보세요.
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