P.S. It-PassportsがGoogle Driveで共有している無料かつ新しいAI-102ダンプ：https://drive.google.com/open?id=1LIhSPmbcqfsOzb5NMKMcqSssX9HRpqEN
なぜ我々社は試験に合格しないなら、全額での返金を承諾するのは大勢の客様が弊社のMicrosoft AI-102問題集を使用して試験に合格するのは我々に自信を与えるからです。Microsoft AI-102試験はIT業界での人にとって、とても重要な能力証明である一方で、大変難しいことです。それで、弊社の専門家たちは多くの時間と精力を尽くし、Microsoft AI-102試験資料を研究開発されます。
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Implement Generative AI Solutions | 10-15% | - Apply responsible AI practices - Integrate Azure OpenAI models into applications - Implement prompt engineering techniques - Use Azure OpenAI Service for generative AI |
| Topic 2: Implement Decision Support Solutions | 10-15% | - Design and implement decision automation - Monitor and optimize decision support solutions - Integrate Azure AI services into applications |
| Topic 3: Implement Natural Language Processing Solutions | 20-25% | - Build question answering solutions - Translate text and speech - Analyze text using Azure AI Language - Implement speech capabilities using Azure AI Speech - Create conversational AI solutions with Azure AI Bot Service |
| Topic 4: Plan and Manage an Azure AI Solution | 15-20% | - Implement governance and compliance for AI solutions - Manage AI costs and resource allocation - Plan and configure secure AI solutions - Select appropriate Azure AI services and technologies |
| Topic 5: Implement Computer Vision Solutions | 15-20% | - Implement object detection and image classification - Read and process documents using Azure AI Document Intelligence - Implement Azure AI Face service - Process video and generate insights - Analyze images using Azure AI Vision |
| Topic 6: Implement Knowledge Mining and Document Intelligence Solutions | 15-20% | - Implement Azure AI Search solutions - Implement semantic and vector search - Design document processing pipelines - Create custom skills for Azure AI Search |
It-PassportsのAI-102問題集は実際のAI-102認定試験と同じです。この問題集は実際試験の問題をすべて含めることができるだけでなく、問題集のソフト版はAI-102試験の雰囲気を完全にシミュレートすることもできます。It-Passportsの問題集を利用してから、試験を受けるときに簡単に対処し、楽に高い点数を取ることができます。
質問 # 72
You have an Azure subscription that contains an Azure Al Content Safety resource named CS1.
You create a test image that contains a circle.
You submit the test image to CS1 by using the curl command and the following command-line parameters.
What should you expect as the output?
正解：C、D
質問 # 73
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：
Reference:
https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/concept-detecting-faces
質問 # 74
You have an app that uses an Azure Al Foundry Content Safety blocklist.
You need to remove an entry from the blocklist The solution must minimize the impact on existing entries on the list.
How should you complete the code? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
質問 # 75
You have an Azure subscription.
You are building a social media app that will enable users to share images.
You need to ensure that inappropriate content uploaded by the users is blocked. The solution must minimize development effort.
What are two tools that you can use? Each correct answer presents a complete solution.
NOTE Each correct selection is worth one point.
正解：A、D
質問 # 76
You are building an app that will scan confidential documents and use the Language service to analyze the contents.
You provision an Azure Cognitive Services resource.
You need to ensure that the app can make requests to the Language service endpoint. The solution must ensure that confidential documents remain on-premises.
Which three 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.
正解：
解説：
Explanation:
Comprehensive Detailed Explanation
You need to analyze confidential documents with the Language service while ensuring those documents never leave your premises. The supported pattern for Azure AI Services (Cognitive Services) is to run the Language service container on-premises and send the app's requests to that local container endpoint. The container performs inference locally; only metering/billing calls are sent to Azure.
To achieve this:
Provision an on-premises Kubernetes cluster that has internet connectivity.
Azure AI service containers running on-prem require outbound access to Azure for metering and billing unless you're using the special disconnected model (not implied here). Therefore, the cluster must have internet connectivity so the container can reach the Azure billing endpoint while keeping document content local.
Pull an image from the Microsoft Container Registry (MCR).
Official Azure AI service containers (including Language) are published in MCR, not Docker Hub. You must pull the Language (Text Analytics/Language) container image from MCR.
Run the container and specify an API key and the Endpoint URL of the Cognitive Services resource.
When you start the container, you configure it with the API key and billing (endpoint) URL of your Azure Cognitive Services (multi-service or Language) resource. This enables the container to authenticate and report usage to Azure, while your data stays on-prem.
Why not the other options?
AKS would place workloads in Azure, which isn't required when the requirement is to keep documents on- prem.
On-prem cluster isolated from the internet would block the container's required calls to Azure's billing endpoint.
Pull from Docker Hub is incorrect because Azure AI service containers are published to MCR.
App ID and Client Secret are not the standard parameters for Azure AI service containers; they require API key + billing endpoint.
Microsoft Azure AI Solution References
Use Azure AI services in containers (billing/endpoint and API key requirements, data remains local):
Microsoft Learn - Install and run containers for Azure AI services and Use containers with Azure AI services (metering and billing) .
https://learn.microsoft.com/azure/ai-services/containers/
Language service container images on Microsoft Container Registry (MCR):
Microsoft Learn - Deploy language containers (Text Analytics/Language) .
https://learn.microsoft.com/azure/ai-services/language-service/how-to/use-containers Networking requirements (internet connectivity for metering):
Microsoft Learn - Configure containers and network access for Azure AI services containers .
https://learn.microsoft.com/azure/ai-services/containers/container-requirements-and-limits These documents collectively show that: (a) containers are pulled from MCR, (b) they are configured with API key + endpoint for billing, and (c) internet egress is required for metering while payload data remains on- premises.
質問 # 77
......
私たちが直面するプレッシャーはあらゆる面からもたらされます。社会情勢が変化するにつれて、これらの圧力は増加する一方です。 私たちは外部環境を変えることはできませんが、自分の能力を向上させることができます。だから私たちのAI-102練習問題をお勧めます。私たちのAI-102試験問題を勉強すれば、あなたが憧れているAI-102認定試験資格証明書を得るだけでなく、より良いものになることもできます。
AI-102基礎問題集: https://www.it-passports.com/AI-102.html
P.S. It-PassportsがGoogle Driveで共有している無料かつ新しいAI-102ダンプ：https://drive.google.com/open?id=1LIhSPmbcqfsOzb5NMKMcqSssX9HRpqEN