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| Section | Objectives |
|---|---|
| Implement Azure AI solutions | - Implement knowledge mining with Azure AI Search - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions - Implement natural language processing solutions |
| Plan and manage Azure AI solutions | - Plan security and compliance requirements - Monitor and optimize AI solutions - Select appropriate Azure AI services |
| Implement and monitor AI workloads | - Deploy AI models and services - Monitor performance and troubleshoot issues |
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NEW QUESTION # 103
Your organization requires that all prompts and completions sent to Azure OpenAI be retained for zero data logging beyond what's required for abuse monitoring, per contractual requirements.
What should you do?
Answer: C
Explanation:
Customers with qualifying requirements can apply to modify abuse monitoring and human review data logging for an Azure OpenAI resource through Microsoft's formal request process, which is the supported path for controlling this behavior - it isn't a client-side setting.
NEW QUESTION # 104
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: A
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 # 105
You maintain multiple versions of a container image in Azure Container Registry.
The production deployment must always run the exact same image build even if tags are changed later.
You need to ensure predictable and immutable image selection during deployment.
What should you do?
Answer: C
Explanation:
Use the image ' s SHA-256 manifest digest when defining the production deployment. Azure Container Registry assigns every pushed image manifest a unique digest, and Microsoft explicitly states that pulling an image by digest guarantees the image version being retrieved , even if an identically named tag is later pushed to a different image. A digest reference has the form myregistry.azurecr.io/repository@sha256: < digest > .
Tags such as production or latest are mutable references . By default, a user or pipeline with sufficient permissions can push a different image under the same tag. Microsoft therefore warns against relying on reusable stable tags for production deployments when exact image reproducibility is required.
A scheduled rebuild also creates a new image artifact and therefore cannot guarantee that production executes the original build. In contrast, the manifest digest is content-addressed and resolves to the precise image manifest selected at deployment time.
Thus, for deterministic and immutable production image selection, reference the container image by its SHA digest rather than by a mutable tag .
Study Guide references: Azure Container Registry # image manifests and digests; image addressing; tagging
/versioning recommendations; immutable deployment references.
NEW QUESTION # 106
You are developing an AI API deployed to ACA. The API requires database credentials that are stored in Key Vault. Key Vault is configured to use Azure RBAC for access control.
The database credentials are rotated periodically by the security team. The application must always use the latest version of each credential without being redeployed and without exposing secrets in code or configurations.
You need to implement a secure secret access strategy that prevents credential exposure and fetches the latest version of each secret at runtime without redeploying the container.
Which three actions should you perform? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: A,D,E
Explanation:
Step-by-Step Implementation Guide
1. Assign a System-Assigned Managed Identity
2. Configure Key Vault RBAC Role Assignment
Role Selection: Assign the Key Vault Secrets User role to the container app's managed identity.
Scope Limitation: Limit the scope of this assignment to the specific Key Vault or individual secrets rather than the entire resource group.
3. Retrieve the Secret at Runtime Using the SDK
Reference:
https://oneuptime.com/blog/post/2026-02-16-how-to-use-managed-identity-with-azure-container-apps-to-access-azure-services/view
NEW QUESTION # 107
Hotspot Question
You have an Azure Service Bus namespace that contains a topic named Topic1.
You plan to create a subscription named Sub1 to Topic1. In Sub1, you plan to filter messages from Topic1 based on their system properties and apply an action that will annotate each filtered message.
You need to configure the filtering.
How should you configure the filtering? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Use the SQL type.
To achieve this goal, you must use a SQL filter (also known as a SqlFilter) type Box 2: Copy a message and annotate its metadata.
The correct filtering action to use is to copy a message and annotate its metadata.
When an action is applied (such as setting a new property or modifying an existing one via SQL filter actions), Azure Service Bus creates a copy of the inbound message for the subscription and annotates the copy's metadata.
Reference:
https://turbo360.com/blog/azure-service-bus-topic-filter
NEW QUESTION # 108
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