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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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NEW QUESTION # 90
You need to secure an Azure OpenAI resource so that it is only reachable from your virtual network and not from the public internet. What should you configure?
Answer: A
NEW QUESTION # 91
You develop a message-processing service deployed to Azure Container Apps. The service reads messages from an Azure Service Bus queue.
The solution must minimize costs by ensuring NO compute resources are consumed when the queue is empty.
You need to configure scaling for the service.
Which two actions should you perform? Each correct answer presents part of the solution. Choose two NOTE: Each correct selection is worth one point.
Answer: B,D
Explanation:
Detailed Explanation: Azure Container Apps uses KEDA-based scale rules for event-driven workloads. A Service Bus scaler can monitor queue depth and create replicas only when messages are pending. To meet the explicit cost requirement, the scale configuration must permit a minimum replica count of zero so all active replicas can terminate when the queue is empty. Increasing the maximum replica count changes peak capacity, and HTTP ingress concurrency is not the correct scaling signal for a background Service Bus consumer.
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 | Set scaling rules in Azure Container Apps
NEW QUESTION # 92
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?
Answer: A
Explanation:
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.
NEW QUESTION # 93
A company uses Azure Monitor Application Insights to monitor application behavior, including incoming requests and dependencies.
You must identify failed requests from the last hour. You must also calculate the average duration of failed request dependency calls, grouped by operation name.
You need to analyze telemetry in Application insights.
Which operators should you mm? To answer, select the appropriate options in the answer area NOTE: Each cot reel selection is worth one point.
Answer:
Explanation:
Explanation:
NEW QUESTION # 94
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.
Answer:
Explanation:
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
NEW QUESTION # 95
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