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| Section | Objectives |
|---|---|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Develop containerized solutions on Azure | - Implement containerized applications
|
| Connect to and consume Azure services | - Integrate Azure services
|
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NEW QUESTION # 87
A container in an AKS cluster repeatedly restarts.
Pod events show probe failures, although node-level CPU and memory metrics are normal.
You need to diagnose the cause of the repeating restarts.
What should you do first?
Answer: B
Explanation:
Inspecting the pod events and container logs is the correct first action to take.
Because node-level metrics are normal, the issue is isolated to the specific workload or its individual container boundaries. Pod events will clarify exactly which health probe (liveness or readiness) is triggering the restart, and the logs will reveal why the application inside the container is failing to respond.
Reference:
https://aws.plainenglish.io/why-your-kubernetes-pod-is-crashing-and-how-to-fix-it-5c71f8d2779a?gi=a46b335270ff
NEW QUESTION # 88
You are developing a microservices-based application that uses Azure Container Apps The application consists of several containerized services that handle tasks, such as processing orders, managing inventory, and generating reports.
You must secure the container apps. All apps must reside in the same virtual network, share the same Dapr configuration, and share the same logging location.
Apps must support the configuration of the amount of memory and compute resources available to containers.
You need to configure the Azure Container App
How should you complete the CLI command? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified Answer: `az containerapp env create ... --enable-workload-profiles`.
Detailed Explanation: The shared boundary for Container Apps is the managed environment. Apps in one environment can share the environment's virtual network integration, observability destination, and Dapr- related environment configuration. Enabling workload profiles provides selectable compute profiles and resource sizing options for workloads in that environment. The CLI must therefore create a Container Apps environment and enable workload profiles. Creating an individual container app alone would not establish the common environment-level network, logging, and resource-profile boundary required by the scenario.
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 | Azure Container Apps environments
NEW QUESTION # 89
You need to translate real-time spoken customer conversations from English to Spanish text during a support call, with minimal latency.
Which Azure AI service should you use?
Answer: A
Explanation:
Use Azure AI Speech with Speech Translation . Microsoft documents Speech Translation as a real-time capability that accepts a live audio stream in a source language and returns translated text, synthesized speech, or both in one or more target languages. This matches the scenario precisely: the input is spoken English during a live support call, the required output is Spanish text, and latency must be minimal.
Speech Translation can be implemented through the Speech SDK , which returns intermediate recognition and translation results as speech is detected. That streaming behavior is materially better suited to live conversations than a workflow that first transcribes audio and then separately calls a text-only translation API.
Microsoft specifically positions Speech Translation for low-latency, real-time speech-to-text and speech-to- speech translation scenarios.
Azure AI Translator translates text and therefore would require a separate speech-to-text stage before translation. Azure AI Language provides NLP capabilities such as classification, sentiment, and entity extraction rather than live speech translation. Azure AI Document Intelligence extracts structured information from documents and forms and is unrelated to streaming conversational audio.
Therefore, Azure AI Speech (Speech Translation) is the correct choice.
Study Guide references: Azure AI Speech # Speech Translation; real-time transcription and translation; Speech SDK; streaming audio translation; target-language text output.
NEW QUESTION # 90
Drag and Drop Question
You deploy an API to Azure Container Apps.
The solution must provide the following functionality:
- Support the concurrent activation of multiple application versions.
- Allocate a specific percentage of incoming requests to a secondary
version.
You need to configure revision behavior.
Which configurations should you use? To answer, move the appropriate configurations to the correct requirements. You may use each configuration 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.
Answer:
Explanation:
Explanation:
Box 1: Multiple revisions mode
To test a new revision without affecting production traffic, you must configure the Container App to use Multiple active revisions mode and set the traffic allocation for the new revision to 0%.
Box 2: Traffic splitting
To split traffic between multiple versions, you must switch the container app's revision mode to Multiple revision mode and configure the traffic splitting weights under the Ingress configurations.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/revisions-manage
NEW QUESTION # 91
You are developing an AI application. The application configuration will depend on a dynamically retrieved value of a designated key stored in an Azure App Configuration resource.
You must deploy the application to the test, staging, and production environments.
You need to be able to set the value differently in each environment.
Which feature of Azure App Configuration resource should you use?
Answer: B
Explanation:
You should use the Label feature of the Azure App Configuration resource.
In Azure App Configuration, keys can optionally include a label, which acts as a dimension or tag to create distinct variants of the same key. This allows you to store environment-specific values (such as test, staging, and production) under a single key name and load the appropriate configuration dynamically based on the current deployment environment.
References:
https://learn.microsoft.com/en-us/answers/questions/2108879/azure-app-configuration-resource-manager-api-is-de
NEW QUESTION # 92
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