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| Section | Objectives |
|---|---|
| Implement Azure AI solutions | - Implement computer vision solutions - Implement generative AI solutions using Azure OpenAI - Implement natural language processing solutions - Implement knowledge mining with Azure AI Search |
| 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 |
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NEW QUESTION # 15
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 # 16
You are developing an application that must extract structured field data (invoice number, total, vendor name) from scanned invoices in multiple layouts. You need a solution that requires no custom model training. What should you use?
Answer: B
Explanation:
The prebuilt invoice model in Azure AI Document Intelligence is trained to recognize common invoice fields (vendor, total, line items, invoice number) out of the box across varied layouts, requiring no training data or custom model.
NEW QUESTION # 17
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: B
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 # 18
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?
Answer: B
Explanation:
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
NEW QUESTION # 19
Hotspot Question
You are reviewing the Python tracing configuration for an application that must send distributed traces to Azure Monitor.
The following code configures OpenTelemetry tracing:
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Yes
Yes, the code configures the tracer provider before any spans are created.
While the tracer provider initialization sequence is structurally correct, no spans can be captured yet at the moment the tracer instance is fetched because the processor and exporter are attached too late in the execution flow.
Box 2: No
No, this configuration does not export traces synchronously.
The code utilizes BatchSpanProcessor, which batches completed spans and exports them asynchronously on a background thread to prevent telemetry collection from blocking your main application code.
Box 3: Yes
Yes, this configuration successfully enables the export of distributed traces to Azure Monitor.
The code provided correctly initializes and wires up the native OpenTelemetry SDK components with the official Azure Monitor exporter library.
Reference:
https://learn.microsoft.com/en-us/python/api/overview/azure/monitor-opentelemetry-exporter-readme
NEW QUESTION # 20
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