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| Section | Weight | Objectives |
|---|---|---|
| Secure, monitor, and optimize AI solutions | 20% | - Manage security and configuration
|
| Develop AI solutions using Azure data services | 30% | - Implement vector-enabled databases
|
| Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
| Integrate backend services and build event-driven architectures | 25% | - Implement messaging and event systems
|
These mock tests are specially built for you to assess what you have studied. These AI-200 Practice Tests are customizable, which means you can change the time and questions according to your needs. You can even access your previously given tests from the history, which helps you to overcome mistakes while giving the actual test next time.
NEW QUESTION # 127
You are developing several microservices to run on Azure Container Apps. External HTTP ingress traffic has been enabled for the Microservices.
A deployed microservice must be updated to allow users to test new features. You have the following requirements:
* Enable and maintain a single URL for the updated microservice to provide to test users.
* Update the microservice that corresponds to the current microservice version.
You need to configure Azure Container Apps.
Which features should you configure? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Verified Answer: Single URL for test users: Revision label. Current microservice activation behavior:
Revision mode.
Detailed Explanation: Azure Container Apps revision labels provide a stable label-specific URL that can be reassigned to a different revision, which is appropriate for a consistent test endpoint. Revision mode controls whether one or multiple revisions can be active at the same time and therefore governs how the current and updated application versions are activated. The container image and registry identify what is deployed, but they do not provide the stable test URL or the application-level revision activation behavior requested.
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 | Azure Container Apps revision labels
NEW QUESTION # 128
You manage an Azure Cosmos DB for a NoSQL API account named account1. The account contains a database named db1, which contains a container named container1. You configure account1 with a session consistency level.
You plan to develop an application named App1 that will access container1. Individual instances of App1 must perform reads and writes. App1 must allow multiple nodes to participate in the same session.
You need to configure an object to share the session token between the nodes.
Which object should you use?
Answer: B
NEW QUESTION # 129
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: A
NEW QUESTION # 130
You need to ensure that responses from your Azure OpenAI application include citations back to the specific source documents used, to support user trust and verification.
What should you implement?
Answer: C
Explanation:
A retrieval-augmented generation (RAG) architecture is the correct mechanism when generated answers must be traceable to specific source documents. RAG first retrieves relevant document chunks from a search index or other knowledge source, supplies those chunks to the language model as grounding context, and then generates an answer based on that retrieved information. Microsoft specifically documents that RAG enables responses containing citations back to source content .
For reliable citation generation, each retrieved chunk should carry identifying metadata such as a source identifier, document title, section, page, or URL . Microsoft's Azure RAG guidance recommends labeling retrieved chunks and including source metadata with them, then explicitly instructing the model to cite the corresponding sources in its response. This allows users to verify individual claims against the underlying documents.
Modern Azure AI Search agentic retrieval can also return structured references and grounding metadata , specifically designed for citation linking.
Increasing top_p only alters token sampling. Content filtering addresses safety, not provenance. Using a base model without retrieval provides no authoritative document linkage.
Study Guide references: RAG architecture; grounding data; retrieval metadata; Azure AI Search references; prompt engineering for citations.
NEW QUESTION # 131
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:
oncurrent active versions: Multiple revision mode. Route a percentage to the secondary version: Traffic splitting.
Detailed Explanation: Azure Container Apps supports side-by-side application versions through multiple revision mode. Once multiple revisions can be active, ingress traffic can be distributed by percentage across those revisions. This is the required combination for canary or controlled rollout scenarios. Single revision mode deactivates the previous revision as a new one becomes active, while traffic splitting is the specific feature that assigns a percentage of incoming requests to each active revision.
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 # 132
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