数万人の顧客は私たちのAI-200問題集を利用したら、AI-200試験に合格しました。もちろん、私たちのAI-200問題集を利用したら、唯一の収穫は試験に合格することではなく、自分の仕事またライフスタイルを変えることもできます。AI-200問題集のメリットはなんですか？いろいろありますよ。例えば、覚えやすい、便利、時間を節約するということなどです。
| Section | Objectives |
|---|---|
| Topic 1: Implement Azure AI solutions | - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions - Implement natural language processing solutions |
| Topic 2: Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Select appropriate Azure AI services - Plan security and compliance requirements |
| Topic 3: Implement and monitor AI workloads | - Deploy AI models and services - Monitor performance and troubleshoot issues |
多くのIT者がMicrosoftのAI-200認定試験を通してIT業界の中で良い就職機会を得たくて、生活水準も向上させたいです。でも多くの人が合格するために大量の時間とエネルギーをかかって、無駄になります。同等の効果は、JPTestKingは君の貴重な時間とお金を節約するだけでなく１００％の合格率を保証いたします。もし弊社の商品が君にとっては何も役割にならなくて全額で返金いたいます。
質問 # 39
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear on the review screen.
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.
You need to ensure that the API key remains outside of Git commit history and is available to the container at runtime.
Solution: Embed the API key as a hardcoded environment variable in the Dockerfile.
Does the solution meet the goal?
正解：A
解説：
Correct:
* Store the API key in Azure Key Vault and reference it from an App Service application setting.
Storing the API key in Azure Key Vault and referencing it via App Service application settings is the recommended, secure approach. This strategy completely removes sensitive credentials from your GitHub repository and Git commit history while injecting them safely into your container environment at runtime.
Incorrect:
* Embed the API key as a hardcoded environment variable in the Dockerfile.
* Store the API key as a GitHub repository secret.
Reference:
https://www.qservicesit.com/full-stack-applications-on-azure
質問 # 40
You are developing a solution that uses several Azure Service Bus queues. You create an Azure Event Grid subscription for the Azure Service Bus namespace. You use Azure Functions as subscribers to process the messages.
You need to ensure that events can be sent to Azure Event Grid from the queues. The solution must use the principle of least privilege and minimize costs.
Which Azure Service Bus role and tier level 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:
Verified Answer: Tier: Premium. Role: Azure Service Bus Data Receiver.
Detailed Explanation: Microsoft documents Event Grid integration for Service Bus queues and topics as requiring a Service Bus Premium namespace. The Azure Function subscriber must then receive messages from the queue; the least-privilege built-in data-plane role for that purpose is Azure Service Bus Data Receiver. Data Sender does not permit receiving, and Data Owner is broader than necessary. Premium therefore satisfies the feature prerequisite, while Data Receiver satisfies the stated least-privilege requirement.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Service Bus to Event Grid integration | Authenticate Service Bus with Microsoft Entra ID
質問 # 41
Your application stores conversation history so a multi-turn chatbot can reference earlier turns, but the context window is limited. You need to keep the most relevant history within token limits.
What should you implement?
正解：B
解説：
Progressive summarization of older conversation turns, combined with keeping recent turns verbatim, is a standard technique to preserve conversational context within a limited token budget without abruptly losing history.
質問 # 42
You are reviewing the message processing code in a backend worker service.
You review the following Python code that initializes and starts a Service Bus processor
正解：
解説：
Explanation:
Verified answer: No; Yes; No.
Detailed Explanation: The default Service Bus receive behavior is PeekLock rather than receive-and-delete, so merely receiving a message does not remove it from the queue; it must be settled successfully. If processing fails and the message remains unsettled or the lock is lost, it can become available for another delivery. Invalid JSON, however, is an application-level content problem: Service Bus does not inspect the payload as JSON and automatically retry it to MaxDeliveryCount solely because deserialization fails. The application's settlement/error path determines what happens.
Study Guide Alignment: Azure service integration: Service Bus, Event Grid, Azure Functions triggers
/bindings, and event-driven processing.
Official Microsoft Learn References: AI-200 Study Guide | Service Bus message transfers, locks, and settlement | Service Bus messages, routing, and correlation
質問 # 43
You need to deploy Azure function resources and apps by using an automated, version-controlled CI/CD pipeline that supports declarative infrastructure deployment. What should you use?
正解：A
質問 # 44
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