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| Section | Objectives |
|---|---|
| Implement and monitor AI workloads | - Deploy AI models and services - Monitor performance and troubleshoot issues |
| Plan and manage Azure AI solutions | - Plan security and compliance requirements - Monitor and optimize AI solutions - Select appropriate Azure AI services |
| Implement Azure AI solutions | - Implement natural language processing solutions - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions |
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NEW QUESTION # 140
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: Store the API key as a GitHub repository secret.
Does the solution meet the goal?
Answer: A
Explanation:
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
NEW QUESTION # 141
You are investigating high latency in an AI search application that processes millions of requests daily.
Telemetry is stored in Azure Monitor Logs.
You must create a KQL query that correlates information from the AppRequests table and the AppDependencies table. The query must meet the following requirements:
* Include only data from the last 24 hours.
* Filter for failed requests only.
* Calculate the average duration of dependencies, grouped by operation.
The query must follow best practice to optimize the performance by minimizing the initial data scan.
You need to create the query.
In which order should perform the actions? To answer, move all actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
Explanation:
Verified Answer: 1) Select the requests table; 2) apply the 24-hour time filter; 3) filter failed requests; 4) join the dependencies table; 5) summarize average dependency duration by operation.
Detailed Explanation: KQL performs best when high-selectivity filters are applied as early as possible, especially the time predicate that limits the amount of data scanned. Starting from AppRequests, restricting to the last 24 hours, and then filtering failures reduces the left-side dataset before the join. The dependency table is then correlated with those requests, and aggregation is performed last to calculate average dependency duration by operation. Joining or summarizing before the time and failure filters would process more data than necessary.
Study Guide Alignment: Security and operations: Key Vault, App Configuration, managed identity, OpenTelemetry, Azure Monitor, and KQL-based troubleshooting.
Official Microsoft Learn References: AI-200 Study Guide | Optimize log queries in Azure Monitor
NEW QUESTION # 142
You are developing an Azure Function that calls external APIs by providing an access token for the API. The access token is stored in a secret named token in an Azure Key Vault named mykeyvault. You need to ensure the Azure Function can access the token. Which value should you store in the Azure Functions app configuration?
Answer: C
Explanation:
To securely provide the Azure Function with access to the secret without exposing it in the application code, you should store a Key Vault reference syntax in the Azure Functions app configuration settings.
The exact value you must store depends on whether you wish to target the latest version of the secret automatically or a specific, pinned version.
Target the latest version (Recommended)
Use this syntax to ensure your Function App always fetches the most recent version of the token:
@Microsoft.KeyVault(VaultName= mykeyvault;SecretName=token)
Reference:
https://learn.microsoft.com/en-us/azure/key-vault/general/apps-api-keys-secrets
NEW QUESTION # 143
Drag and Drop Question
You are developing a .NET application that uses Azure Cosmos DB for NoSQL to store application data.
The application uses the Azure Cosmos DB for NoSQL SDK to interact with the database account.
The application must perform the following tasks:
- Initialize the connection by using the account endpoint and key.
- Define shared throughput.
- Perform create, read, update, and delete (CRUD) operations on items
stored in a container.
You need to implement the SDK components required for the application to access and manage data in Azure Cosmos DB for NoSQL.
Which SDK components should you use? To answer, move the appropriate components to the correct requirements. You may use each component 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: CosmosClient
To initialize the connection to an Azure Cosmos DB for NoSQL account using the account endpoint and key, you must use the CosmosClient class.
Box 2: Database
The database SDK component should be used to define shared throughput.
In Azure Cosmos DB, shared throughput (provisioned Request Units per second or RU/s) is configured at the database level. When throughput is provisioned on a database, that capacity is shared among all the containers created within that specific database.
Box 3: Container
To perform item create, read, update, and delete (CRUD) operations, you should use the Container SDK component In the Azure Cosmos DB for NoSQL SDK for .NET, individual JSON documents (items) live inside a container. The Container class exposes the specific methods required to execute CRUD operations on these items.
Reference:
https://learn.microsoft.com/en-us/azure/cosmos-db/how-to-dotnet-get-started
NEW QUESTION # 144
Hotspot Question
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 emit events to Azure Event Grid from the queues. You must use the principle of least privilege and minimize costs.
Which Azure Service Bus values should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Premium
Azure Service Bus event integration with Event Grid is a specialized feature supported only on the Premium messaging tier. Basic and Standard tiers do not support emitting namespace events to Event Grid.
Box 2: Contributor
Setting up and managing the integration requires management-plane permissions on the namespace to establish the Event Grid subscription, making Contributor the correct and required IAM role specification according to Microsoft's integration guidelines.
Reference:
https://learn.microsoft.com/en-us/azure/service-bus-messaging/service-bus-to-event-grid-integration-concept
NEW QUESTION # 145
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