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PassTest世界は急速に変化しており、従業員に対する要件はこれまでになく高くなっています。理想的な仕事を見つけて高収入を得たい場合は、優れた労働能力と深いMicrosoft知識を高めなければなりません。 AI-102のDesigning and Implementing a Microsoft Azure AI Solution認定に合格すると、夢を実現できます。製品を購入すると、最高のDesigning and Implementing a Microsoft Azure AI Solution学習教材が提供され、Designing and Implementing a Microsoft Azure AI Solution認定の取得にAI-102役立ちます。当社の製品は高品質であり、当社のサービスは完璧です。
| Section | Weight | Objectives |
|---|---|---|
| Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Implement model monitoring and feedback - Integrate Azure OpenAI and other generative models - Orchestrate multiple models and containers - Deploy and manage generative models |
| Implement knowledge mining and information extraction solutions | 15-20% | - Build knowledge bases and search indexes - Extract entities, relationships, and key phrases - Implement intelligent search and retrieval - Ingest and process structured/unstructured data |
| Plan and manage an Azure AI solution | 20-25% | - Create and configure Azure AI resources - Monitor, optimize, and secure AI solutions - Plan solutions aligned with responsible AI principles - Select appropriate Microsoft Foundry Services - Choose services for generative AI, computer vision, NLP, speech, information extraction, knowledge mining - Select suitable AI models |
| Implement an agentic solution | 5-10% | - Develop multi-agent workflows and orchestration - Test, deploy, and optimize agents - Build agents with Microsoft Foundry Agent Service - Understand agent use cases and types |
| Implement natural language processing solutions | 15-20% | - Implement translation and summarization - Customize and deploy NLP models - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots |
| Implement computer vision solutions | 10-15% | - Integrate vision capabilities into applications - Extract text and handwriting from images - Process and index video content - Build and deploy custom vision models - Analyze images and detect objects/features |
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質問 # 305
You have a Microsoft OneDrive folder that contains a 20-GB video file named File1.avi.
You need to index File1.avi by using the Azure Video Indexer website.
What should you do?
正解：C
解説：
https://learn.microsoft.com/en-us/azure/azure-video-indexer/odrv-download
質問 # 306
You need to measure the public perception of your brand on social media by using natural language processing.
Which Azure service should you use?
正解：D
解説：
Azure Cognitive Service for Language is a cloud-based service that provides Natural Language Processing (NLP) features for understanding and analyzing text.
Use this service to help build intelligent applications using the web-based Language Studio, REST APIs, and client libraries.
Note: Natural language processing (NLP) has many uses: sentiment analysis, topic detection, language detection, key phrase extraction, and document categorization.
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/language-service/overview
質問 # 307
Match the types of workloads to the appropriate scenarios.
To answer, drag the appropriate workload type from the column on the left to its scenario on the right. Each workload type may he used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
正解：
解説：
Explanation:
Comprehensive Detailed Explanation
There are two main types of data workloads: Batch and Streaming.
Batch Workload
Processes data in large groups (batches) at scheduled intervals.
Common when real-time is not required.
Examples: daily sales reports, hourly data refreshes, periodic ETL (Extract, Transform, Load).
Streaming Workload
Processes data in real time or near real time as it arrives.
Used for scenarios where immediate insights or actions are required.
Examples: fraud detection, IoT sensor monitoring, live purchase tracking.
Applying to the scenarios:
"Data for a product catalog will be loaded every 12 hours to a data warehouse." This is scheduled, not continuous. # Batch
"Thousands of data sets per second for online purchases will be loaded into a data warehouse in real time." This requires real-time processing. # Streaming
"Updates to inventory data will be loaded to a data warehouse every 1 million transactions." Data is grouped and loaded after reaching a threshold (1 million). # Batch Correct Matches:
Product catalog (12 hours) # Batch
Online purchases (real time) # Streaming
Inventory data (1 million transactions) # Batch
Microsoft References
Batch processing vs. Stream processing in Azure
Azure Stream Analytics overview
Data processing approaches: Batch vs Real-time
質問 # 308
You train a Conversational Language Understanding model to understand the natural language input of users.
You need to evaluate the accuracy of the model before deploying it.
What are two methods you can use? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
正解：A、C
解説：
* To evaluate a Conversational Language Understanding (CLU) model, you can:
* Use the REST authoring API to retrieve the model's evaluation summary (precision, recall, F1 score).
* In Language Studio, use the Model performance section to view evaluation metrics and confusion matrix.
* Active Learning (option B) is for improving the model post-deployment by validating unclear utterances, not pre-deployment evaluation.
* Log collection in Log Analytics (option D) is for monitoring, not formal evaluation.
The answer: A and C
Reference: Evaluate a Conversational Language Understanding model
質問 # 309
You are developing a webpage that will use the Video Indexer service to display videos of internal company meetings.
You embed the Player widget and the Cognitive Insights widget into the page.
You need to configure the widgets to meet the following requirements:
Ensure that users can search for keywords.
Display the names and faces of people in the video.
Show captions in the video in English (United States).
How should you complete the URL for each widget? 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.
正解：
解説：
質問 # 310
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