試験の結果は、It-Passports選択したAI-200学習教材と直接関係しています。 したがって、当社は試験のレビューに特に関心を持っています。 試験の証明書を取得することはほんの始まりです。 当社の練習資料は、広範囲に影響を与える可能性があります。 この種の試験に関する要求は、AI-200トレーニングクイズでMicrosoft満たすことができます。 ですから、私たちのDeveloping AI Cloud Solutions on Azure練習資料はあなたの未来にプラスの興味を持っています。 このような小さな投資でありながら大きな成功を収めたのに、Developing AI Cloud Solutions on Azureなぜあなたはまだためらっていますか？
| Section | Objectives |
|---|---|
| Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Plan security and compliance requirements - Select appropriate Azure AI services |
| Implement Azure AI solutions | - Implement generative AI solutions using Azure OpenAI - Implement knowledge mining with Azure AI Search - Implement computer vision solutions - Implement natural language processing solutions |
私たちのAI-200学習教材を使用した人々は、私たちのAI-200学習教材が非常にいいと考えていました。 あなたが私たちのAI-200学習教材を購入すれば、真剣に検討してみると、試験に合格するだけで、簡単にAI-200認定試験資格証明書を得ることができます。では、今すぐAI-200の学習教材で試してみてください。 私たちのAI-200学習教材を利用したら、後悔することはありません。
質問 # 62
You need to add a custom voice that matches your company ' s brand for a text-to-speech feature, distinct from any standard neural voice.
What should you use?
正解：D
解説：
Use Azure AI Speech Custom Neural Voice . Microsoft describes custom voice as a text-to-speech capability for creating a unique synthetic voice for a product, brand, or character rather than selecting one of the standard voices provided by the Speech service. The organization supplies authorized voice recordings and corresponding scripts, and the custom voice workflow creates a voice model that can subsequently be deployed and consumed through Speech text-to-speech functionality.
This directly satisfies the requirement that the voice be distinct from the standard neural voice catalog.
Prebuilt neural voices are high-quality, ready-to-use voices supplied by Microsoft, but they do not create a company-specific branded voice. Microsoft explicitly differentiates standard voices from custom voices and identifies custom voice as the mechanism for creating a voice unique to a brand.
Custom Neural Voice is a Limited Access capability. Organizations must meet Microsoft ' s eligibility and responsible-AI requirements, including obtaining appropriate consent from voice talent and receiving access approval for the intended use case.
Azure AI Language sentiment analysis evaluates text sentiment, while Azure AI Translator performs language translation. Neither creates a custom text-to-speech voice.
Study Guide references: Azure AI Speech # text-to-speech; Custom Neural Voice; voice model creation; branded synthetic voices; responsible AI and Limited Access.
質問 # 63
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: Store the API key as an App Service application setting configured through the Azure Portal.
Does the solution meet the goal?
正解：A
質問 # 64
Hotspot Question
You deploy a Linux container image to App Service.
The container requires the following environment variables at runtime:
- A non-sensitive configuration value named MODEL_VERSION
- A database password that must remain secure
You need to configure App Service to provide these environment variables at runtime.
Which configurations 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：
Explanation:
Box 1: App setting with plain text value
To provide a non-sensitive environment variable named MODEL_VERSION to a Linux custom container deployed to Azure App Service, you should configure it as an Application Setting (App Setting). In Azure App Service, any custom configuration defined within the Application Settings is automatically injected into Linux containers as an environment variable at runtime.
Box 2: Key Vault reference syntax
You should configure the database password as an Azure Key Vault reference inside App Service Application Settings. This prevents the secret from being stored in plaintext in the app configuration and injects it securely into the container as an environment variable at runtime.
Reference:
https://learn.microsoft.com/en-us/azure/app-service/tutorial-custom-container?tabs=azure-cli&pivots=container-linux
質問 # 65
You plan to deploy a web application to AKS.
The solution must:
* Scale out the application by adding more pods during peak CPU usage
* Expose the application internally within the cluster only
You need to configure a Kubernetes resource for each requirement
Which resources should you configure? To answer, move the appropriate resources to the correct requirements You may use each resource once, more than once, or not at all. You may need to move split bar between .. or scroll to view content.
正解：
解説：
Explanation:
Verified Answer: Scale out the application: HorizontalPodAutoscaler. Expose internally only: ClusterIP service.
Detailed Explanation: The Kubernetes HorizontalPodAutoscaler increases or decreases pod replicas in response to CPU, memory, or other metrics, so it is the resource that implements CPU-driven pod scale-out. A ClusterIP service creates an internal service IP that is reachable within the Kubernetes cluster and is the normal choice for an internal-only service. A Deployment defines the workload but does not itself implement metric-driven autoscaling, while Ingress is intended to route inbound network traffic.
Study Guide Alignment: Containerized Azure workloads: registry builds, App Service containers, Container Apps revision/scaling behavior, and AKS deployment choices.
Official Microsoft Learn References: AI-200 Study Guide | AKS scaling overview | Kubernetes services in AKS
質問 # 66
You deploy a Linux container image to App Service.
The container requires the following environment variables at runtime:
* A non-sensitive configuration value named MODEL_VERSION
* A database password that must remain secure
You need to configure App Service to provide these environment variables at runtime.
Which configurations 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：
Explanation:
質問 # 67
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あなたはIT職員ですか。成功したいのですか。成功したいのならIt-PassportsのMicrosoftのAI-200試験トレーニング資料を利用してください。当社の資料は実践の検証に合格したもので、あなたが首尾よくIT認証試験に合格することを助けます。It-PassportsのMicrosoftのAI-200トレーニング資料を手に入れたらあなたはIT業種でもっとよい昇進を持つようになり、高レベルのホワイトカラーのトリートメントを楽しむこともできます。あなたはまだ何を心配しているのですか。It-PassportsのMicrosoftのAI-200トレーニング資料はあなたのニーズを満たすことができますから、躊躇わずにIt-Passportsを選んでください。It-Passportsはあなたと苦楽を共にして、一緒に挑戦に直面します。
AI-200予想試験: https://www.it-passports.com/AI-200.html