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| Section | Weight | Objectives |
|---|---|---|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
| Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
人生は自転車に乗ると似ていて、やめない限り、倒れないから。IT技術職員として、周りの人はMicrosoft AI-200試験に合格し高い月給を持って、上司からご格別の愛護を賜り更なるジョブプロモーションを期待されますけど、あんたはこういうように所有したいますか。変化を期待したいあなたにMicrosoft AI-200試験備考資料を提供する権威性のあるCertShikenをお勧めさせていただけませんか。
質問 # 20
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 are preparing a production deployment for an Azure Function app. The app will run across multiple environments.
The solution must support environment-specific configuration and prevent secrets from being stored in source control.
You need to develop the solution.
Solution: Store connection strings in the Function app application settings configured in the Azure Portal.
Does the solution meet the goal?
正解：B
解説：
Correct:
* Use App Configuration with Key Vault references to store environment-specific settings and secrets, accessed from the function app by using a managed identity.
This is an industry-standard best practice architectural pattern.
Using Azure App Configuration combined with Azure Key Vault references completely satisfies your compliance requirements. It centralizes feature flags and non-sensitive configurations, keeps sensitive data safely out of source control, handles multi-environment deployments cleanly, and eliminates credentials via a passwordless Managed Identity.
Incorrect:
* Store connection strings in the Function app application settings configured in the Azure Portal.
* Store production secrets in environment variables set by the Dockerfile.
Reference:
https://learn.microsoft.com/en-us/azure/app-service/app-service-key-vault-references
質問 # 21
You are designing an Azure Function app that processes large image uploads submitted by users through an HTTP endpoint.
The solution must:
- Prevent client timeouts by decoupling image processing from the
initial upload request.
- Support automatic retry behavior for failed processing attempts.
- Scale the background processing independently of the rate of incoming HTTP uploads.
You need to design a scalable and reliable asynchronous processing solution.
Which two actions should you implement? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
正解：A、C
解説：
To build a scalable and reliable asynchronous solution that meets the requirements, you should use an HTTP-triggered function to save images to Azure Blob Storage and enqueue a message, then use a Queue-triggered function to process the image.
1. Decouple via Queue Messaging
HTTP Function: Receives the initial user upload, saves the large image file directly to Azure Blob Storage, and writes a small metadata message (e.g., the blob URI) into an Azure Storage Queue or Azure Service Bus Queue.
Instant Response: The HTTP function immediately returns a 202 Accepted status to the client along with a status-tracking URL. This completely eliminates client timeout issues by shifting heavy work to the background.
2. Leverage Built-In Queue Triggers
Queue-Triggered Function: A second, separate Azure Function is configured to trigger whenever a new message lands in the queue. It downloads the image from Blob Storage and performs the processing.
Automatic Retries: Azure Queue storage and Service Bus triggers feature native retry behavior. If the processing function fails or crashes, the message is automatically returned to the queue to be retried. Persistent failures are automatically moved to a Poison Queue (Dead Letter Queue) after a configured number of attempts (default is 5).
Independent Scaling: Under the Azure Consumption or Premium plan, the Queue-triggered function scales its instances up or down based on the queue length (the backlog of images to process). This scales independently of the HTTP-triggered function, which scales purely based on incoming request volume.
Reference:
https://oneuptime.com/blog/post/2026-02-16-azure-functions-python-http-triggers-blob-storage/view
質問 # 22
Your solution must answer questions about numeric data in large Excel-based reports (e.g.,
"What was Q3 revenue for the West region?"). Which approach is most appropriate?
正解：D
解説：
Precise numeric/tabular lookups are handled poorly by vector similarity search or free-text embedding of numbers. Structuring the data (e.g., in a database) and letting a function-calling agent issue precise queries yields accurate, verifiable answers.
質問 # 23
Drag and Drop Question
You are reviewing secret access patterns used by an AI application that retrieves credentials from Key Vault.
You need to evaluate the security impact of each implementation approach.
What is the outcome of each approach? To answer, move the appropriate outcomes to the correct implementations. You may use each outcome once, more than once, or not at all. You may need to move the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
正解：
解説：
Explanation:
Box 1: Supports automatic rotation.
When an AI application retrieves a secret from Azure Key Vault without specifying a version, it always fetches the latest active version. This choice impacts your security and operations in the following ways:
Latest Version Fetch: The vault automatically serves the current active secret value.
No Code Changes: Your application reads the new credential immediately after rotation without a code redeployment.
Zero Downtime: Automated rotation pipelines can update the secret in Key Vault while the app seamlessly switches to the new token.
Box 2: Requires manual update after rotation
Using a specific version identifier when retrieving a secret from Key Vault means the application always requests one exact version of that secret. This choice requires manual update after rotation because the application code or configuration pins a specific version ID and will not fetch the new value when the secret rotates.
Box 3: Prevents credential storage
Prevents credential storage is the correct outcome of using managed identity for authentication.
No credentials to manage: Managed identities eliminate the need for developers to manage credentials entirely.
Automatic token handling: Azure automatically creates an identity for the application in Microsoft Entra ID and handles the service principal's lifecycle behind the scenes, ensuring that no secrets or connection strings are ever hardcoded or stored in configuration files.
Box 4: Introduces credential exposure
Introduces credential exposure and Requires manual update after rotation are the primary outcomes of storing a client secret in environment variables.
Storing clear-text secrets in environment variables poses a significant security risk. Any process, compromised dependency, or user with access to the execution environment (such as container details, application logs, or process dumps) can easily read them.
Reference:
https://medium.com/simform-engineering/building-automated-secret-rotation-using-azure-key-vault-and-net-01e0701f0a2e
https://www.varonis.com/blog/azure-managed-identities
質問 # 24
You have an Azure Service Bus namespace with a partitioned queue named queue1.
You plan to send a large number of messages through queue1 over the next few weeks. The order of messages will be random. You must minimize the possibility of message transmission interruption by transient failures of individual partitions.
You need to use the optimal configuration of the partition key in the messages.
Which configuration should you use?
正解：B
質問 # 25
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多くの人々は試験前のあらゆる種類の困難のためあきらめ、最終的に自己価値を高める機会を失いました。繁栄する多国籍企業として、私たちは常にこの問題の解決に取り組んでいます。たとえば、当社が開発したAI-200学習エンジンはAI-200試験を簡単かつ簡単にすることができ、自信を持ってこれを行ったと言えます。多くの人々は試験前のあらゆる種類の困難のためあきらめ、最終的に自己価値を高める機会を失いました。繁栄する多国籍企業として、私たちは常にこの問題の解決に取り組んでいます。たとえば、当社が開発したAI-200学習エンジンはAI-200試験を簡単かつ簡単にすることができ、自信を持ってこれを行ったと言えます。
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