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

Scenario-based practice

Select Two (Multi-Select) 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.

20
scenario questions
AI-200
exam code
Microsoft
vendor

Scenario guide

How to approach select two (multi-select) questions

Multi-select questions tell you to 'Choose TWO' or 'Choose THREE'. Getting partial credit is not a thing — you must select all correct answers with no incorrect ones. The stem always states how many to choose, so trust it. These questions require precision, not best-guess elimination.

Quick answer

Select Two (Multi-Select) 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
Full question →

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 2easymulti select
Full question →

Which TWO actions can you perform using Azure Container Registry Tasks (ACR Tasks)?

Question 3hardmulti select
Full question →

You are designing a high-performance AI inference architecture on Azure Kubernetes Service (AKS). Which THREE AKS features or configurations should you incorporate to optimize performance and resource utilization? (Choose three.)

Question 4mediummulti select
Full question →

You are scaling an AI workload in Azure Container Apps. Which TWO scale rule triggers are natively supported without custom KEDA extensions?

Question 5easymulti select
Full question →

When configuring an Azure Container Instances container group, which TWO properties can you define?

Question 6hardmulti select
Full question →

You are configuring enterprise networking for an AKS cluster running sensitive AI models. Which THREE networking features should you implement for cluster security?

Question 7hardmulti select
Full question →

You are designing a secure MLOps pipeline using Azure Container Registry. Which THREE practices should you implement to secure your AI container images?

Question 8easymulti select
Full question →

Your team is evaluating Azure Container Apps versus Azure Kubernetes Service (AKS) for hosting containerized AI workloads. Which TWO characteristics are advantages of Azure Container Apps over standard AKS? (Choose two.)

Question 9mediummulti select
Full question →

You are deploying a custom text-embedding model container to Azure Container Apps. You need to configure scaling rules so that the container scales out based on incoming HTTP traffic and Azure Service Bus queue length. Which TWO scalers can you configure? Each correct answer presents part of the solution.

Question 10easymulti select
Full question →

Which TWO Azure services can store and serve private Docker container images for AI workloads?

Question 11hardmulti select
Full question →

You are configuring an Azure Kubernetes Service (AKS) cluster for enterprise AI workloads. Which THREE practices should you implement to enhance cluster security and isolation? (Choose three.)

Question 12easymulti select
Full question →

Which TWO of the following are true about Azure Container Apps?

Question 13hardmulti select
Full question →

Which THREE of the following items should be configured to ensure your AI workload in AKS is observable?

Question 14mediummulti select
Full question →

When managing Azure Container Registry (ACR), administrators can use ACR Tasks to automate tasks. Which TWO scenarios are valid use cases for ACR Tasks? (Choose two.)

Question 15mediummulti select
Full question →

Your development team is planning to deploy a containerized natural language processing model to Azure Container Apps. Which TWO features are natively supported by Azure Container Apps for managing application lifecycle and traffic? (Choose two.)

Question 16mediummulti select
Full question →

Which TWO of the following are valid ways to reduce the size of a container image?

Question 17mediummulti select
Full question →

When designing an AI architecture that uses Azure AI Search, which TWO methods can be used to ingest documents and their vector embeddings into the search index? (Choose two)

Question 18hardmulti select
Full question →

You are designing a data layer architecture for an enterprise AI assistant that requires high-performance vector search, structured filtering, and multi-tenant isolation. Which THREE design patterns should you consider? (Choose three)

Question 19mediummulti select
Full question →

When configuring vector search in Azure Cosmos DB for NoSQL, which TWO steps are required to prepare a container for vector search before inserting documents? (Choose two)

Question 20hardmulti select
Full question →

Which THREE of the following are benefits of using ACR Tasks for containerized AI workloads?

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.