Microsoft AI-200 Exam Syllabus Topics:
| Section | Objectives |
|---|---|
| Topic 1: Plan and manage Azure AI solutions | - Plan security and compliance requirements - Select appropriate Azure AI services - Monitor and optimize AI solutions |
| Topic 2: Implement and monitor AI workloads | - Monitor performance and troubleshoot issues - Deploy AI models and services |
| Topic 3: Implement Azure AI solutions | - Implement knowledge mining with Azure AI Search - Implement computer vision solutions - Implement natural language processing solutions - Implement generative AI solutions using Azure OpenAI |
Microsoft Developing AI Cloud Solutions on Azure Sample Questions:
1. A container in an AKS cluster repeatedly restarts.
Pod events show probe failures, although node-level CPU and memory metrics are normal.
You need to diagnose the cause of the repeating restarts.
What should you do first?
A) Inspect the pod events and container logs.
B) Scale the deployment to more replicas.
C) Drain and reboot the node hosting the pod.
D) Decrease the initialDelaySeconds for the container liveness probe.
2. You process Azure Service Bus messages that require a dependent external API call.
If the API is temporarily unavailable, you must delay processing of the message without incrementing the delivery count.
You need to find a way to process the message when the API is available while keeping the message accessible.
Which message action should you perform?
A) Dead-letter
B) Complete
C) Abandon
D) Defer
3. You deploy multiple instances of a change feed processor to handle a high ingestion rate within Azure Cosmos DB for NoSQL.
Each processor instance must process a different subset of partitions.
You need to ensure the workload is load-balanced across all processor instances.
What should you configure?
A) autoscale throughput
B) indexing precision
C) strong consistency
D) lease container
4. A development team wants to compare multiple prompt variations against the same test dataset and visualize which prompt performs best. What should they use in Azure AI Foundry?
A) Azure AI Search indexers
B) Speech Studio custom voice
C) Prompt flow with variants
D) Model deployment quota management
5. You deploy a GPT-4o model in Azure AI Foundry. Users report inconsistent completions for the same prompt. You need to make outputs more deterministic without changing the prompt. What should you do?
A) Set temperature to a low value such as 0
B) Increase the top_p parameter
C) Enable content filtering
D) Increase the max_tokens parameter
Solutions:
| Question # 1 Answer: A | Question # 2 Answer: D | Question # 3 Answer: D | Question # 4 Answer: C | Question # 5 Answer: A |
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