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Back to Microsoft Certified: Azure AI Cloud Developer Associate (AI-200) (AI-200) questions

Scenario-based practice

Troubleshooting Scenario Questions

Practise Microsoft Certified: Azure AI Cloud Developer Associate (AI-200) (AI-200) practice questions — original exam-style scenarios covering every exam domain, with detailed explanations, wrong-answer analysis, and common exam traps.

15
scenario questions
AI-200
exam code
Microsoft
vendor

Scenario guide

How to approach troubleshooting scenario questions

These questions describe a network symptom and ask you to identify the root cause or the correct fix. They appear across all certification exams and reward systematic thinking over memorisation. The best candidates follow a consistent troubleshooting framework even under time pressure.

Quick answer

Troubleshooting Scenario Questions questions test whether you can apply the concept in context, not just recognise a definition.

How the topic appears in realistic exam-style scenarios.

Which detail in the question changes the correct answer.

How to eliminate plausible but wrong options.

How to connect the question back to the wider exam objective.

Related practice questions

Related AI-200 topic practice pages

Scenario questions usually connect to one or more exam topics. Use these links to review the underlying concepts behind the scenario.

Practice set

Practice scenarios

Question 1mediummulti select
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You are troubleshooting an AI application container in an AKS cluster that cannot resolve external domain names (e.g., huggingface.co). Which TWO Kubernetes components should you investigate?

Question 2mediummultiple choice
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You are troubleshooting an AI inference container in Azure Container Apps that fails to start because it cannot pull the base image from Azure Container Registry. Authentication fails with an unauthorized error. What is the recommended way to grant the Container App access to ACR?

Question 3hardmultiple choice
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You are troubleshooting high latency in an AI inference workload on AKS. You suspect the issue is caused by container startup time (cold starts). Which feature helps mitigate this?

Question 4hardmultiple choice
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You are troubleshooting intermittent network timeout errors between microservices in an AKS cluster running an AI pipeline. You suspect that network policies are blocking required inter-pod communication. Which CNI plugin must be configured in AKS to enforce these network policies?

Question 5hardmultiple choice
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You are troubleshooting a high memory consumption issue on an Azure AI Search service hosting large vector indexes. Which index configuration choice contributes most directly to high memory pressure when using the HNSW algorithm?

Question 6hardmultiple choice
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You are troubleshooting a performance issue where an Azure AI Search indexer fails to complete within the scheduled execution window when processing large PDF documents. What is the most effective configuration change to resolve the timeout issue?

Question 7hardmulti select
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You are troubleshooting slow query performance in an enterprise Azure AI Search vector deployment. Which THREE architectural or configuration adjustments can improve query throughput and latency? Choose three.

Question 8hardmultiple choice
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You are troubleshooting high latency in an Azure AI Search vector indexing pipeline. The source data is stored in Azure Blob Storage. You notice that the 'skillset' execution is the bottleneck. Which configuration change is most likely to reduce ingestion time?

Question 9hardmultiple choice
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You are troubleshooting a connection issue where an on-premises worker application cannot connect to an Azure Event Hubs namespace over AMQP port 5671 due to strict corporate firewall rules. Only port 443 outbound traffic is allowed. How can you configure the client connection to bypass this restriction?

Question 10mediummulti select
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You are troubleshooting event delivery failures in Azure Event Grid. Which TWO mechanisms can help you analyze or recover undeliverable events? (Choose two)

Question 11mediummulti select
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You are troubleshooting an Azure Function triggered by an Azure Event Grid subscription. The function is failing to receive events. Which TWO diagnostic steps should you take in the Azure Portal or via Azure CLI? Each correct answer is a valid troubleshooting action.

Question 12hardmultiple choice
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You are troubleshooting an AI application where users experience intermittent authentication failures when the application attempts to acquire tokens from Azure Active Directory for calling Cognitive Services. You want to inspect the exact HTTP status codes and error descriptions returned during token acquisition. Which namespace or log table should you analyze in Log Analytics?

Question 13hardmulti select
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You are analyzing security and compliance logs in an Azure Log Analytics workspace. You want to write KQL queries to investigate potential security incidents or token acquisition failures. Which THREE of the following KQL tables or operators are valid and useful for this investigation? (Choose three)

Question 14hardmulti select
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Your Azure AI application relies on Azure OpenAI and Azure AI Search. You need to troubleshoot a sudden surge in HTTP errors and latency. Which THREE of the following Azure Monitor / Application Insights features or tools should you use to diagnose the issue? (Choose three)

Which THREE logs or telemetry types should you collect in Azure Monitor to comprehensively troubleshoot an AI-powered web application?

These AI-200 practice questions are part of Courseiva's free Microsoft certification practice question bank. Courseiva provides original exam-style AI-200 questions with detailed explanations, topic-based practice, mock exams, readiness tracking, and study analytics.