これらすべてのAI-200学習教材で、あなたの成功は100%保証されます。さらに、無料のデモがあります。無料のデモでは、練習資料の内容について証明された経験に基づいた推測を提供します。この試験について決心している限り、その職業は疑う余地がないことを理解できます。そして、彼らの職業はAI-200トレーニング準備で徹底的に表現されています。彼らはAI-200試験の本当の知識をつかみ、忘れられない経験をするのに非常に役立ちます。この小さなメリットをお見逃しなく。
| Section | Objectives |
|---|---|
| Topic 1: Connect to and consume Azure services | - Integrate Azure services
|
| Topic 2: Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Topic 3: Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Topic 4: Develop containerized solutions on Azure | - Implement containerized applications
|
>> Microsoft AI-200日本語版復習資料 <<
夢を持ったら実現するために頑張ってください。「信仰は偉大な感情で、創造の力になれます。」とゴーリキーは述べました。私の夢は最高のIT専門家になることです。その夢は私にとってはるか遠いです。でも、成功へのショートカットがを見つけました。GoShikenのMicrosoftのAI-200試験トレーニング資料を利用して気楽に試験に合格しました。それはコストパフォーマンスが非常に高い資料ですから、もしあなたも私と同じIT夢を持っていたら、GoShikenのMicrosoftのAI-200試験トレーニング資料を利用してください。それはあなたが夢を実現することを助けられます。
質問 # 61
You plan to deploy a container to an Azure App Service API app named api1. You host the source code for api1 in a GitHub repository. The container uses the API key at runtime to connect to a backend service.
The container must be able to retrieve the API key at runtime without exposing it in the source repository or Git commit history. The API key must not be stored in application configuration directly. The API key must be accessed securely from Azure Key Vault.
You need to ensure that the API key is stored securely in Azure Key Vault and is available to the container at runtime without being exposed in source control or Git commit history.
Solution: Embed the API key as a hardcoded environment variable in the Dockerfile.
Does the solution meet the goal?
正解:A
質問 # 62
Drag and Drop Question
You are developing a serverless Java application on Azure. You create a new Azure Key Vault to work with secrets from a new Azure Functions application.
The application must meet the following requirements:
- Reference the Azure Key Vault without requiring any changes to the
Java code.
- Dynamically add and remove instances of the Azure Functions host
based on the number of incoming application events.
- Ensure that instances are perpetually warm to avoid any cold starts.
- Connect to a VNet.
- Authentication to the Azure Key Vault instance must be removed if the Azure Functions application is deleted.
You need to grant the Azure Functions application access to the Azure Key Vault.
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:
Step 1: Create the Azure Functions app with a Premium plan type
Perpetually Warm & VNet: The Premium plan type is the only serverless-scale hosting option that satisfies requirement 3 (keeping instances warm to eliminate cold starts) and requirement 4 (native regional VNet integration). The Consumption plan type does not keep instances warm and does not support VNet injection.
Event-Driven Scaling: It fulfills requirement 2 by dynamically adding and removing host instances using the event-driven scale controller.
Step 2: Create a system-assigned managed identity for the application
Lifecycle Coupling: It directly satisfies requirement 5. A system-assigned managed identity is tied strictly to the lifecycle of the Azure Functions resource. If the Functions application is deleted, Azure automatically removes the identity and its authentication token, ensuring that access to the Key Vault is immediately revoked. A user-assigned identity exists as an independent resource and would persist after the application's deletion.
Step 3: Create an access policy in Azure Key Vault for the application identity Granting Permissions: This step completes the access requirements. By adding an access policy (or an Azure RBAC role assignment) in Azure Key Vault specifically for the created system- assigned managed identity, you grant the runtime environment the necessary permissions to retrieve secrets.
No Code Changes: Combining the managed identity with an App Setting configured as an Azure Key Vault Reference allows the Functions platform to fetch secrets automatically at runtime, keeping your Java source code unchanged Reference:
https://learn.microsoft.com/en-us/azure/azure-functions/functions-best-practices
質問 # 63
You need to translate real-time spoken customer conversations from English to Spanish text during a support call, with minimal latency.
Which Azure AI service should you use?
正解:A
解説:
Use Azure AI Speech with Speech Translation . Microsoft documents Speech Translation as a real-time capability that accepts a live audio stream in a source language and returns translated text, synthesized speech, or both in one or more target languages. This matches the scenario precisely: the input is spoken English during a live support call, the required output is Spanish text, and latency must be minimal.
Speech Translation can be implemented through the Speech SDK , which returns intermediate recognition and translation results as speech is detected. That streaming behavior is materially better suited to live conversations than a workflow that first transcribes audio and then separately calls a text-only translation API.
Microsoft specifically positions Speech Translation for low-latency, real-time speech-to-text and speech-to- speech translation scenarios.
Azure AI Translator translates text and therefore would require a separate speech-to-text stage before translation. Azure AI Language provides NLP capabilities such as classification, sentiment, and entity extraction rather than live speech translation. Azure AI Document Intelligence extracts structured information from documents and forms and is unrelated to streaming conversational audio.
Therefore, Azure AI Speech (Speech Translation) is the correct choice.
Study Guide references: Azure AI Speech # Speech Translation; real-time transcription and translation; Speech SDK; streaming audio translation; target-language text output.
質問 # 64
You have an existing AKS cluster and a container image stored in Azure Container Registry.
You must deploy a new version by using a Deployment manifest that supports rolling updates without interrupting traffic.
You need to perform a rolling update by using a manifest file.
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:
質問 # 65
You need to implement trace correlation according to the business requirements.
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.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you se lect.
正解:
解説:
Explanation:
Verified Answer: 1) Instrument the application code with the OpenTelemetry SDK; 2) configure an Azure Monitor trace exporter in the OpenTelemetry SDK; 3) redeploy the instrumented services.
Detailed Explanation: Trace correlation requires the application to create OpenTelemetry spans and an exporter to send those spans to Azure Monitor. Instrumentation must therefore be present before the updated service is deployed. The previous Application Insights SDK instrumentation does not satisfy the case-study requirement that all tracing use OpenTelemetry. Configuring an OpenTelemetry view is unrelated to basic distributed-trace export, and calling TrackEvent is an Application Insights SDK pattern rather than the required OpenTelemetry approach.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Enable Azure Monitor OpenTelemetry
質問 # 66
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AI-200日本語的中対策: https://www.goshiken.com/Microsoft/AI-200-mondaishu.html