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| Section | Objectives |
|---|---|
| Topic 1: Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Topic 2: Develop containerized solutions on Azure | - Implement containerized applications
|
| Topic 3: Connect to and consume Azure services | - Integrate Azure services
|
| Topic 4: Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
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질문 # 116
You have a newly provisioned Azure subscription. You are designing a custom Event Grid workflow for AI inference events.
You need to implement the Event Grid components to support routing of high-confidence events to a downstream processor.
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.
정답：
설명：
Explanation:
Verified Answer: 1) Register the Event Grid resource provider; 2) create a custom topic; 3) create an event subscription.
Detailed Explanation: A newly provisioned subscription must have the Event Grid resource provider available before Event Grid resources can be created. The publisher needs a custom topic as the event-ingress resource, and routing to a downstream processor is then defined by an event subscription on that topic. The event subscription can include filters such as event type or data fields so that only high-confidence events reach the processor. Creating a partner topic or domain is unnecessary for the stated custom workflow.
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 | Create an Event Grid custom topic or domain
질문 # 117
A RAG application's retrieval step is returning documents that are topically related but not precisely relevant to the user's question. You need to improve retrieval precision without retraining any model. What should you do?
정답：D
설명：
Azure AI Search's semantic ranker re-scores the initial retrieval results using a secondary language-understanding model, improving precision by pushing more contextually relevant results to the top without any custom model training.
질문 # 118
You are deploying an AI service to Azure Container Apps.
The service must retrieve secrets securely from Key Vault by using managed identity.
You need to configure secure access.
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.
정답：
설명：
Explanation:
질문 # 119
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.
정답：
설명：
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
질문 # 120
You are developing a solution that will use a multi-partitioned Azure Cosmos DB database. You plan to use the latest Azure Cosmos DB SDK for development The solution must meet the following requirements:
* Send insert and update operations to an Azure Blob storage account
* Process changes to all partitions immediately
Allow parallelization of change process.
You need to process the Azure Cosmos DB operations
What are two possible ways to achieve this goal? Each correct answer presents a complete solution.
NOTE: Each correct selection is worth one point.
정답：A,B
질문 # 121
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