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| Section | Objectives |
|---|---|
| Topic 1: Plan and manage Azure AI solutions | - Monitor and optimize AI solutions - Plan security and compliance requirements - Select appropriate Azure AI services |
| Topic 2: Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Topic 3: Implement Azure AI solutions | - Implement generative AI solutions using Azure OpenAI - Implement computer vision solutions - Implement natural language processing solutions - Implement knowledge mining with Azure AI Search |
In today's rapidly changing Microsoft industry, the importance of obtaining Microsoft AI-200 certification has become increasingly evident. With the constant evolution of technology, staying competitive in the job market requires professionals to continuously upgrade their skills and knowledge. The VCEPrep is committed to completely assisting you in exam preparation with AI-200 Questions.
NEW QUESTION # 97
You provisioned an Azure Cosmos DB for NoSQL account named account1 with the default consistency level.
You plan to configure the consistency level on a per request basis. You plan to request Consistent Prefix consistency on a per-request basis.
You need to identify the resulting consistency level for read and write operations.
Which levels result from this configuration? To answer, select the appropriate options in the answer a rea.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified answer: Read operations: Consistent Prefix. Write operations: Session (the account default remains effective for writes).
Detailed Explanation: Azure Cosmos DB allows a client or request to override consistency for reads.
Microsoft explicitly notes that such an override applies only to reads; it does not change how writes are committed and replicated under the account's configured consistency. Because a new account uses Session consistency by default, requesting Consistent Prefix affects the reads while the account continues to use its Session consistency behavior for writes. This distinction is the key point tested by the hotspot.
Study Guide Alignment: AI data-management workloads: Cosmos DB, PostgreSQL, caching, vector storage, vector retrieval, consistency, and connection optimization.
Official Microsoft Learn References: AI-200 Study Guide | Manage Cosmos DB consistency levels | Cosmos DB consistency level choices
NEW QUESTION # 98
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 # 99
You are developing several microservices to run on Azure Container Apps.
You need to monitor and diagnose the microservices.
Which features should you use? To answer, select the appropriate feature in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
View console logs from a container in near real-time: Log streaming
* Debug the microservice from inside the container: Container console
For near-real-time troubleshooting, use Log streaming . Azure Container Apps supports streaming both system logs and container console logs directly through the Azure portal or Azure CLI. Microsoft documents that container console logs originate from the application ' s stdout and stderr streams, and the log-streaming feature can display them in near real time. This is the correct feature when developers need immediate visibility into container output without waiting for log ingestion into a monitoring workspace.
To debug the application from inside the running container , use the Container console . Azure Container Apps allows operators to connect interactively to a container by using the portal console or the az containerapp exec command. From there, they can run commands through shells such as bash or sh, inspect files, test network connectivity, examine environment variables, and troubleshoot runtime behavior directly in the container context.
Azure Monitor metrics are appropriate for aggregated performance measurements rather than interactive container debugging. Azure Monitor Log Analytics is useful for historical queries and centralized analysis, but Microsoft notes that ingested logs can have a delay of several minutes, so it is not the best choice for near- real-time console output.
Study Guide references: Azure Container Apps # Log streaming; Container console; observability; Azure Monitor integration; interactive troubleshooting.
NEW QUESTION # 100
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 # 101
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 # 102
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