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Microsoft AI-200 Exam Syllabus Topics:

Microsoft Developing AI Cloud Solutions on Azure Sample Questions:

1. 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?

A) A single monolithic prompt covering both domains
B) Two separate applications with no coordination
C) A single fine-tuned model trained on both domains only
D) An orchestrator agent that routes sub-tasks to specialized agents and combines results

2. 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.

A) Polling interval
B) Trigger type
C) Maximum replicas
D) Queue name

3. You need to add a custom voice that matches your company's brand for a text-to-speech feature, distinct from any standard neural voice. What should you use?

A) Azure AI Speech Custom Neural Voice
B) Azure AI Language sentiment analysis
C) Azure AI Speech prebuilt neural voices
D) Azure AI Translator

4. You are deploying a model in Azure AI Foundry and must ensure the endpoint can handle unpredictable bursts of traffic while keeping cost low during idle periods. Which deployment type should you choose?

A) Dedicated managed compute with fixed capacity
B) Provisioned Throughput Units (PTU)
C) Standard (pay-as-you-go) deployment
D) Batch deployment

5. A customer support bot built with Azure AI Foundry Agent Service must ground its answers strictly in an internal knowledge base and avoid hallucinating unsupported facts. What should you implement?

A) Increase temperature to encourage exploration
B) Connect the agent to an Azure AI Search knowledge source and instruct it to answer only from retrieved content
C) Use a larger context window model with no retrieval
D) Disable content filtering to allow more flexible answers

Solutions: