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変化する地域に対応するには、問題を解決する効率を改善する必要があります。これは、試験に対処するだけでなく、多くの側面を反映しています。 AI-102実践教材は、あなたがそれを実現するのに役立ちます。 これらの時間に敏感な試験の受験者にとって、重要なニュースで構成される高効率のAI-102の実際のテストは、最も役立つでしょう。 定期的にそれらを練習することによってのみ、あなたはあなたに明らかな進歩が起こったのを見るでしょう。 さらに、AI-102練習教材の獲得を待つのではなく、支払い後すぐにダウンロードできるので、今すぐAI-102成功への旅を始めましょう。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement generative AI solutions | 15-20% | - Apply prompt engineering and fine-tuning - Implement model monitoring and feedback - Orchestrate multiple models and containers - Integrate Azure OpenAI and other generative models - Deploy and manage generative models |
| Topic 2: Implement knowledge mining and information extraction solutions | 15-20% | - Extract entities, relationships, and key phrases - Build knowledge bases and search indexes - Ingest and process structured/unstructured data - Implement intelligent search and retrieval |
| Topic 3: Implement an agentic solution | 5-10% | - Understand agent use cases and types - Test, deploy, and optimize agents - Develop multi-agent workflows and orchestration - Build agents with Microsoft Foundry Agent Service |
| Topic 4: Implement natural language processing solutions | 15-20% | - Perform text analysis, sentiment detection, and language detection - Build conversational AI and chatbots - Implement translation and summarization - Customize and deploy NLP models |
| Topic 5: 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 - Select appropriate Microsoft Foundry Services - Create and configure Azure AI resources - Monitor, optimize, and secure AI solutions - Select suitable AI models |
| Topic 6: Implement computer vision solutions | 10-15% | - Extract text and handwriting from images - Build and deploy custom vision models - Integrate vision capabilities into applications - Analyze images and detect objects/features - Process and index video content |
当社のAI-102テストトレントは、課題に取り組み、Designing and Implementing a Microsoft Azure AI Solution試験に合格するのに役立つ新しい方法を探し続けます。当社の優れたパフォーマンスにより、世界有数の国際試験銀行として認められるために、当社のDesigning and Implementing a Microsoft Azure AI Solution認定試験は長い間集中しており、教材の設計に多くのリソースと経験を蓄積してきました。 Designing and Implementing a Microsoft Azure AI Solution試験証明書の取得を支援します。私たちは心からあなたが私たちを信頼し、選択することを心から願っています。
質問 # 240
You plan to use containerized versions of the Anomaly Detector API on local devices for testing and in on-premises datacenters.
You need to ensure that the containerized deployments meet the following requirements:
Prevent billing and API information from being stored in the command-line histories of the devices that run the container.
Control access to the container images by using Azure role-based access control (Azure RBAC).
Which four actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order. (Choose four.) NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
正解：
解説：
Explanation
Step 1: Pull the Anomaly Detector container image.
Step 2: Create a custom Dockerfile
Step 3: Build the image
Step 4: Push the image to an Azure container registry.
https://docs.microsoft.com/en-us/azure/cognitive-services/containers/container-reuse-recipe
質問 # 241
You have a library that contains thousands of images.
You need to tag the images as photographs, drawings, or clipart.
Which service endpoint and response property should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
質問 # 242
You have 100 chatbots that each has its own Language Understanding model.
Frequently, you must add the same phrases to each model.
You need to programmatically update the Language Understanding models to include the new phrases.
How should you complete the code? 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：
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/luis/client-libraries-rest-api
質問 # 243
You have the following C# function.
You call the function by using the following code.
Following 'key phrases' what output will you receive?
正解：D
解説：
The provided code uses the Azure AI Language - Text Analytics client to call the ExtractKeyPhrases method.
* The method ExtractKeyPhrases(text) identifies the most important words and phrases in the input text.
* The input string is:
* "the quick brown fox jumps over the lazy dog"
* The ExtractKeyPhrases API removes stopwords such as "the," "over," and "jumps" and extracts only meaningful keywords.
Therefore, the returned list of key phrases will include:
* "Quick brown fox"
* "Lazy dog"
When printed, the console output after "Key phrases:" will show:
Quick brown fox
Lazy dog
This matches option C (Quick brown fox lazy dog), since the key phrases are concatenated as output lines.
The answer: C. Quick brown fox lazy dog
* Azure AI Language - Key phrase extraction
* TextAnalyticsClient.ExtractKeyPhrases method (Azure.AI.TextAnalytics) Microsoft References
質問 # 244
You develop a test method to verify the results retrieved from a call to the Computer Vision API. The call is used to analyze the existence of company logos in images. The call returns a collection of brands named brands.
You have the following code segment.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Yes
Box 2: Yes
Box 3: No
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-faces
質問 # 245
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AI-102出題内容: https://www.goshiken.com/Microsoft/AI-102-mondaishu.html
さらに、GoShiken AI-102ダンプの一部が現在無料で提供されています：https://drive.google.com/open?id=1_-DSyHBXOFbFHZOygm8yyQJ_dGj6Y4Gf