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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Secure, monitor, and optimize AI solutions | 20% | - Implement observability and reliability
|
| Topic 2: Integrate backend services and build event-driven architectures | 25% | - Build serverless APIs and workflows
|
| Topic 3: Develop AI solutions using Azure data services | 30% | - Design and optimize data access and retrieval
|
| Topic 4: Develop containerized AI solutions on Azure | 25% | - Implement container hosting environments
|
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NEW QUESTION # 120
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: D
Explanation:
The applicable Azure OpenAI control is Modified Abuse Monitoring . Microsoft documents that customers processing highly sensitive or confidential information can apply to modify the normal abuse-monitoring process when they cannot permit Microsoft to store or conduct human review of prompts and completions.
Approval is subject to Microsoft ' s Limited Access eligibility requirements and must be requested through the designated Microsoft process.
For approved configurations, the abuse-monitoring treatment of prompts and completions is modified so that normal human review does not occur. Microsoft guidance on zero-data-retention scenarios specifically directs eligible customers to request Modified Abuse Monitoring rather than attempting to achieve the requirement by disabling unrelated telemetry services.
Disabling Azure Monitor does not change Azure OpenAI ' s service-side abuse-monitoring policy; it only affects customer-configured operational telemetry. Changing the model version likewise has no direct effect on retention requirements. Storing application data in Cosmos DB controls the application ' s own persistence layer and does not govern Azure OpenAI service processing.
Therefore, among the available choices, A is the required action. More precisely, the relevant request is Modified Abuse Monitoring ; modified content filtering/Guardrails is a separate control unless the organization also requires changes to safety filtering.
Study Guide references: Azure OpenAI # Data privacy and security; Abuse monitoring; Modified Abuse Monitoring; Limited Access requirements.
NEW QUESTION # 121
An ACA app processes messages from an Azure Storage queue.
The app must scale automatically based on messages in a specific Azure Storage queue by using a Kubernetes Event-driven Autoscaler (KEDA) custom scale rule.
You need to configure the required scale rule values.
Which two values should you configure? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: C,D
Explanation:
[A]
QeueName: The exact name of the specific Azure Storage queue your app is polling is required.
[C]
Why Trigger Type is Required
When configuring a custom scale rule in Azure Container Apps (ACA), the platform utilizes KEDA underneath. Because a custom rule can connect to many different event sources (such as Kafka, Redis, or Azure Storage), you must explicitly define the Trigger type (e.g., azure-queue) so KEDA knows which specific scaler to initiate.
Reference:
https://techcommunity.microsoft.com/blog/fasttrackforazureblog/container-apps-a-practical-scaling-with-azure-queue-scale-rule/3722075
NEW QUESTION # 122
You are building a multi-agent solution in Azure AI Foundry where one agent handles scheduling and another handles billing questions, and a request may need both. What should you implement?
Answer: B
Explanation:
Multi-agent orchestration patterns use a coordinating (orchestrator) agent to decompose a request, delegate sub-tasks to specialized agents, and aggregate their outputs -- this is more maintainable and accurate than one broad prompt or model trying to cover disparate domains.
NEW QUESTION # 123
You are designing an Azure Function that will process orders from a new Azure Service Bus queue.
You need to prevent the system from processing messages more than once and preserve failed messages for investigation.
Which two actions should you implement? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Answer: B,C
Explanation:
To ensure reliable order processing with zero duplicates and safe error handling, you should implement an Azure Function with an Azure Service Bus Trigger utilizing duplicate detection, PeekLock settlement, and custom dead-letter routing.
References:
https://azureintegrations.com/2020/03/01/azure-servce-bus-best-practises/
NEW QUESTION # 124
Your application stores conversation history so a multi-turn chatbot can reference earlier turns, but the context window is limited. You need to keep the most relevant history within token limits.
What should you implement?
Answer: B
NEW QUESTION # 125
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