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| Section | Objectives |
|---|---|
| Secure, monitor, troubleshoot Azure solutions | - Operate AI cloud solutions
|
| Develop containerized solutions on Azure | - Implement containerized applications
|
| Develop AI solutions by using Azure data management services | - Work with Azure data platforms for AI workloads
|
| Connect to and consume Azure services | - Integrate Azure services
|
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NEW QUESTION # 45
You are developing a solution for a hospital to support the following use cases:
*The most recent patient status details must be retrieved even if multiple users in different locations have updated the patient record.
*Patient health monitoring data retrieved must be the current version or the prior version.
*After a patient is discharged and all charges have been assessed, the patient billing record contains the final charges.
You provision a Cosmos DB NoSQL database and set the default consistency level for the database account to Strong. You set the value for Indexing Mode to Consistent.
You need to minimize latency and any impact to the availability of the solution. You must override the default consistency level at the query level to meet the required consistency guarantees for the scenarios.
Which consistency levels should you implement? To answer, drag the appropriate consistency levels to the correct requirements. Each consistency level may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Strong consistency is required for the patient-status scenario because it provides linearizability : reads return the latest committed value. This is the appropriate guarantee when updates can originate from different locations and the application must never return an older patient status. Microsoft defines Strong as the highest Azure Cosmos DB consistency level and notes that it provides the strongest freshness guarantee, at the cost of greater latency and reduced availability compared with weaker models.
For health-monitoring data, Bounded Staleness is the intended consistency level. It explicitly limits how far reads can lag behind writes using a maximum number of versions (K) or a time interval (T). Conceptually, this matches a requirement that data may be current or only a limited number of versions behind.
For finalized billing data, Eventual consistency provides the lowest latency and highest availability. Once discharge processing is complete and no further billing writes occur , replicas eventually converge on the same final value. Microsoft specifically notes that, in the absence of further writes, weaker consistency levels ultimately yield the same converged data.
Azure Cosmos DB also permits requests to relax consistency below an account ' s Strong default , which is exactly the optimization pattern described here.
Study Guide references: Azure Cosmos DB for NoSQL # Strong consistency; Bounded Staleness; Eventual consistency; per-request consistency override; latency/availability trade-offs.
NEW QUESTION # 46
You need to deploy a batch embedding workload according to the planned application architecture.
What should you use?
Answer: D
Explanation:
The batch embedding workload is planned to run in Azure Kubernetes Service (AKS) , and Kubernetes workloads should be defined declaratively by using YAML manifest files . Microsoft states that a Kubernetes manifest defines the desired state of cluster resources, including Deployments, Jobs, Services, ConfigMaps, and other Kubernetes objects. These manifests can then be deployed by using kubectl apply -f < manifest > .
yaml.
For this case, YAML is particularly appropriate because the technical requirements emphasize repeatable, version-controlled, automated deployments . A batch vector embedding regeneration process would typically be represented as a Kubernetes workload such as a Job or another batch-oriented resource, with its configuration committed to Git alongside the rest of the deployment definitions.
kubectl run and kubectl create are imperative commands and are less appropriate for a controlled Git-based deployment model because they do not inherently preserve the complete desired-state definition as source- controlled configuration. XML is not the standard Kubernetes manifest format. az aks commands are primarily used to provision and manage the AKS cluster itself rather than declaratively define application workloads running inside the cluster.
Therefore, the correct choice is YAML-formatted Kubernetes manifest files .
Study Guide references: Azure Kubernetes Service # Kubernetes manifests; declarative deployments; kubectl apply; Git-based workload configuration.
NEW QUESTION # 47
Hotspot Question
You plan to deploy an Azure Container Apps app named App1. App1 will use an access key to connect to a backend API.
The solution must store the key outside of the App1 environment and minimize maintenance efforts.
You need to configure secure key storage for App1.
Which configurations 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: Azure Key Vault secret.
The key should be stored as an Azure Key Vault secret.
This option directly satisfies the requirement to store sensitive strings (like access keys or API keys) outside of the application environment. By leveraging Azure Key Vault references in Azure Container Apps, the Container Apps platform automatically pulls the secret value at runtime. If you leave out the specific version tag in the secret URI, Azure Container Apps will automatically fetch the latest version within 30 minutes of a rotation, drastically minimizing ongoing maintenance efforts.
Incorrect:
Azure Key Vault Key: This is incorrect because Key Vault keys are cryptographic key material used strictly for cryptographic operations (such as encryption, decryption, and signing). They do not return plaintext secret data to your application, making them unsuited for raw API string storage.
Azure Container Apps secret: While easy to implement natively, this option stores the key inside the Container App environment scope. It fails the requirement to keep the key entirely separated from the application environment and requires manual application updates if the backend key changes or rotates.
Box 2: Managed identity
You should use a Managed identity.
Zero Secret Lifecycle Management: A managed identity provides an automatically managed identity in Microsoft Entra ID. Azure handles credential rotation automatically, completely eliminating maintenance efforts and the risk of leaked credentials.
Native Platform Integration: Azure Container Apps natively supports managed identities to authenticate with Azure Key Vault. You can directly reference Key Vault secrets in your Container App configuration without writing custom authentication code inside the container.
Reference:
https://learn.microsoft.com/en-us/azure/container-apps/manage-secrets
NEW QUESTION # 48
You deploy a new revision of an app in Azure Container Apps.
You need to gradually shift production traffic to the revision while monitoring performance. In addition, you need to be able to quickly roll back. 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,E
Explanation:
Detailed Explanation: Gradual production rollout requires more than one revision to remain active and a mechanism to divide traffic between them. Multiple revision mode permits concurrent active revisions, and traffic splitting lets a specified percentage of requests flow to the new revision while the remainder stays on the proven revision. This also enables rapid rollback by returning traffic to the prior revision. Increasing replicas or restarting a revision changes capacity or process state, not release traffic distribution.
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 revisions
NEW QUESTION # 49
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 # 50
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