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Containerized AI Workloads

Practise Microsoft Certified: Azure AI Cloud Developer Associate (AI-200) (AI-200) Containerized AI Workloads practice questions — original exam-style scenarios with answer choices, explanations, and analysis of common mistakes.

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What to know about Containerized AI Workloads

Containerized AI Workloads questions test whether you can apply the concept in context, not just recognise a definition.

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Common Containerized AI Workloads exam traps

  • Answering from memory before reading the full scenario.
  • Missing a constraint such as cost, availability, security, scope or command context.
  • Choosing a broad answer when the question asks for the most specific fix.
  • Ignoring why the wrong options are tempting.

Question index

All Containerized AI Workloads questions (117)

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1

You need to store custom AI container images in a private registry hosted within Azure. Which Azure service provides a managed Docker registry service?

Easy
2

You have an AI model container that is frequently crashing due to OOM (Out of Memory) errors. How do you identify the actual memory usage compared to the limits?

Hard
3

You are deploying an AI workload to AKS and want to ensure that pods belonging to your application are distributed across different fault domains (availability zones) for high availability. Which Kubernetes feature should you configure?

Medium
4

You are troubleshooting slow inference latency in an AI application deployed on AKS. You suspect that network packets between inference pods are traversing unnecessary hops due to overlay routing. Which CNI mode should you have chosen for optimal direct routing?

Hard
5

You have an AI workload that requires persistent storage for large model checkpoints. Which storage type should you mount to an AKS pod for optimal performance?

Medium
6

You are configuring continuous deployment for an AI model container. Whenever a data scientist pushes code to a GitHub repository, you want Azure Container Registry to automatically build and tag the new container image without managing an external CI/CD build agent. What should you use?

Medium
7

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

Medium
8

Which Azure feature allows you to set up a private, internal-only container registry?

Easy
9

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?

Hard
10

You are troubleshooting an AI inference container deployed in Azure Container Apps that is failing health probes. Which TWO diagnostic tools or logs can you examine in the Azure portal to investigate the failure?

Medium
11

Your enterprise requires that all container images deployed to Azure Kubernetes Service (AKS) must originate from approved corporate Azure Container Registries (ACRs). How can you enforce this restriction cluster-wide?

Easy
12

You are using Azure Container Apps. You need to deploy a new version of your AI model without downtime. Which deployment strategy should you configure?

Easy
13

You have an Azure Container Registry and an Azure Kubernetes Service cluster in different Azure regions. You want to ensure that AKS nodes pull container images from a local regional endpoint to minimize latency and cross-region data transfer fees. What feature should you configure on ACR?

Medium
14

You need to configure network security for an Azure Container Apps environment that hosts an internal AI scoring API. The API must only be reachable from a specific Azure Virtual Network (VNet) and blocked from public internet access. How should you configure the environment?

Hard
15

You need to deploy a containerized AI model to Azure Container Apps and configure it to scale based on Azure Service Bus queue messages. Which scaler should you specify?

Easy
16

You are managing an Azure Kubernetes Service (AKS) cluster that runs high-throughput AI model training jobs using NVIDIA Tensor Core GPUs. Pods frequently fail to schedule because of insufficient GPU memory across existing nodes. You need to ensure the cluster automatically provisions new GPU-enabled worker nodes when resource demands increase. What should you configure?

Medium
17

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?

Medium
18

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

Easy
19

You are managing an AKS cluster running resource-intensive AI training jobs. You want to ensure that nodes automatically scale up and down based on pending pod resource requests. Which component should you enable and configure?

Medium
20

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.)

Medium
21

You are setting up image builds for a multi-architecture (AMD64 and ARM64) AI model container using Azure Container Registry Tasks. Which command or feature should you use to build images for both architectures simultaneously?

Hard
22

Which TWO of the following steps are required to enable GPU support for a pod in AKS?

Medium
23

You have a large image that takes a long time to pull. You want to speed up deployment in AKS. Which feature should you enable?

Medium
24

Which THREE of the following are security best practices for container registries?

Medium
25

You are deploying a containerized machine learning inference service to Azure Container Apps. The model artifact is large (15 GB) and must be securely loaded during container startup. What is the most efficient way to mount this model data into the container app?

Medium
26

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.)

Hard
27

You need to store private AI model weights in an Azure Container Registry (ACR). Which authentication method follows the principle of least privilege for an AKS cluster to pull these images?

Easy
28

You are building an AI container image and need to minimize its final size to speed up deployment times. Which multi-stage build practice should you follow?

Easy
29

You are configuring rolling updates for an AI model inference service on AKS with zero downtime requirements. Which THREE deployment or pod configuration settings should you configure?

Hard
30

You are deploying a custom PyTorch inference model container to Azure Container Apps. The application requires GPU acceleration for real-time video processing. Which Azure Container Apps environment configuration tier must you select to support this requirement?

Easy
31

Which THREE of the following options are important when configuring an AKS cluster for AI workloads?

Hard
32

You are deploying a custom PyTorch model to Azure Container Apps. You need to ensure that the container utilizes GPU acceleration. Which configuration step is required in the Container App environment?

Medium
33

Which THREE of the following are components of a standard Dockerfile for an AI application?

Easy
34

You are running a GPU-intensive AI workload in AKS. You want to ensure the pods are scheduled only on nodes that have GPUs. How do you enforce this?

Hard
35

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

Hard
36

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

Medium
37

Your containerized AI application requires a specific version of a kernel driver that is not installed on the AKS nodes. What is the most efficient way to manage this?

Hard
38

Which TWO of the following are valid autoscaling options for AKS?

Medium
39

You need to deploy a real-time object detection model inside an Azure Container App. The application requires immediate scale-out when the queue length of incoming image processing requests exceeds a threshold. Which scaling rule type should you configure?

Medium
40

You are deploying a Python Flask API that wraps an ONNX runtime model to Azure Container Instances (ACI). The container needs to expose port 5000 externally. Which parameter must you specify when creating the container group?

Easy
41

You are troubleshooting a containerized AI model running in an Azure Container App that crashes immediately upon startup with an exit code indicating an Out Of Memory (OOM) error. You need to inspect the container resource allocations. Where can you adjust the memory allocation for the container?

Medium
42

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.

Medium
43

You are running a distributed AI training job on AKS using MPI. Which network configuration is critical for performance?

Hard
44

You are configuring continuous deployment for an AI model container using Azure DevOps and Azure Container Registry (ACR). You need to ensure that when a new container image is pushed to ACR, an event triggers an automated webhook that notifies an Azure Function to run post-deployment validation tests. Which event type should you subscribe to in the ACR webhook configuration?

Medium
45

You manage an AKS cluster running high-throughput AI inference pods. During traffic spikes, pods experience latency due to slow container image pulls from Azure Container Registry (ACR). You want to optimize image pull performance across cluster nodes. Which feature should you enable?

Hard
46

Which THREE of the following are common reasons for a container image pull failure in AKS?

Easy
47

You are containerizing a large language model (LLM) inference API to run in Azure Container Apps. The model weights exceed 15 GB and cause container startup timeouts because the image takes too long to pull from Azure Container Registry (ACR). You need to optimize the container startup performance without reducing the model size. What is the best approach?

Hard
48

Your development team wants to push custom Docker images containing fine-tuned open-source LLMs to a secure, private registry hosted on Azure. Which Azure service should you use to store and manage these container images?

Easy
49

You need to deploy a microservice application that consists of an API gateway and an AI model inference container. The solution must scale automatically based on HTTP traffic and support zero scaling when idle to reduce costs, without requiring complex Kubernetes cluster management. Which service is best suited for this?

Easy
50

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

Hard
51

You are configuring authentication between an Azure Container App running an AI model and an Azure OpenAI resource. To adhere to security best practices, you must avoid storing API keys in environment variables or code. How should you configure this?

Hard
52

You need to deploy a quick, stateless AI data processing script packaged in a container image without setting up Kubernetes or Container Apps. Which Azure service offers the fastest deployment for a single container instance?

Easy
53

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

Easy
54

An AKS cluster is configured with KEDA for autoscaling an AI inferencing service based on Azure Queue Storage length. The pods fail to scale. Which component should you inspect first?

Hard
55

You are deploying a custom AI model container to Azure Container Apps. The container listens on port 8080 and requires health probes to verify readiness before routing traffic. How should you configure the probes?

Hard
56

You want to view real-time standard output logs from a container running in Azure Container Instances named 'ai-inferencing-aci'. Which Azure CLI command should you run?

Easy
57

You deploy an AI inferencing service to an Azure Kubernetes Service (AKS) cluster. The service uses an ONNX Runtime container. Users report intermittent 504 Gateway Timeouts during peak batch request loads. You notice that the application pods are being terminated due to Out-Of-Memory (OOM) errors during heavy inference loads. How should you resolve this issue in your Kubernetes deployment manifest?

Hard
58

You need to view the logs of a container that recently crashed in an AKS cluster. Which command is used?

Easy
59

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.)

Hard
60

You are deploying a model that requires a specific version of a non-standard OS library. You want to ensure the build environment is consistent across your team. What should you use?

Hard
61

You are deploying a web application container to Azure Container Apps and want to enable external HTTPS traffic. Which ingress setting must you configure?

Easy
62

You need to automate the deployment of containerized AI models whenever a new image is pushed to ACR. What is the most efficient Azure-native tool for this trigger?

Medium
63

You want to ensure your AI inference service is highly available across multiple regions. What is the recommended approach for container distribution?

Medium
64

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

Easy
65

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

Easy
66

You are configuring GPU time-slicing on an AKS cluster to maximize GPU utilization for multiple lightweight AI inference containers sharing a single NVIDIA A100 GPU. Where must you define the time-slicing configuration profile?

Hard
67

You are configuring network policies in an AKS cluster to isolate your AI inference pods from other namespaces. You notice that traffic is still flowing between namespaces despite applying a NetworkPolicy. What is the most likely cause?

Hard
68

Which TWO of the following can be used to manage secrets in a containerized AI workload?

Medium
69

Which type of registry is most suitable for storing images that are shared across an entire organization?

Easy
70

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.)

Easy
71

You are designing an MLOps pipeline on Azure Kubernetes Service (AKS) for a computer vision model. You need to configure GPU sharing among multiple inference pods on the same node to optimize cost. Which TWO actions should you take? Each correct answer presents part of the solution.

Medium
72

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.)

Medium
73

You have a large AI model file (5GB) that needs to be loaded into your container at startup. What is the recommended way to handle this?

Medium
74

You need to inspect the environment variables and configuration settings of a running container group in Azure Container Instances. Which Azure CLI command should you use?

Easy
75

You are configuring secure image signing and verification for your AI containers using Azure Container Registry and Notation. Which feature enables cryptographically signed container images?

Hard
76

You are managing multiple containerized AI models in AKS. You want to implement a service mesh to handle traffic splitting and mTLS. Which tool should you integrate?

Medium
77

Your containerized AI application needs to access sensitive API keys. What is the most secure way to provide these to your application in Azure Container Apps?

Medium
78

You are running an AI inference workload in an Azure Kubernetes Service (AKS) cluster. The pods require access to an Azure Machine Learning workspace data store via managed identity without storing credentials in code. Which Kubernetes feature should you configure?

Medium
79

You are optimizing an AI model container image size. Which technique is most effective for reducing the footprint of an image based on a large Python deep learning framework?

Medium
80

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?

Medium
81

You are deploying a distributed PyTorch training job across multiple nodes in an Azure Kubernetes Service (AKS) cluster. Which mechanism should you use to facilitate high-speed, low-latency inter-node communication required for gradient synchronization?

Medium
82

You have an AI model container that takes 10 seconds to load weights into memory upon startup. Users report HTTP 503 errors immediately after deployment because traffic is routed to the container before it is ready. Which probe should you configure?

Easy
83

Your data science team pushes container images to Azure Container Registry (ACR). You need to ensure that every image pushed is automatically scanned for known vulnerabilities before being deployed to production. Which ACR feature should you enable?

Easy
84

You are deploying an AI model to AKS that requires a specific kernel module. What is the recommended strategy to ensure the node has this module?

Hard
85

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

Hard
86

You are optimizing a large language model container inference deployment on AKS using GPU-enabled nodes (NC-series). The inference server experiences frequent out-of-memory errors on the GPU device itself during high context lengths. Which Kubernetes configuration metric should you monitor and alert on?

Hard
87

You need to store sensitive database connection strings and AI API keys used by containerized applications running in Azure Container Apps. Which feature should you use to securely store and reference these values?

Easy
88

Which command-line interface tool is used to deploy and manage container images directly to Azure Container Registry?

Easy
89

You are managing an AKS cluster and need to ensure that GPU driver updates do not disrupt running AI inference workloads. Which AKS feature helps manage GPU operator lifecycle and driver installation?

Medium
90

You are configuring an Azure Container Apps environment with a custom Virtual Network. Your AI containers need to securely connect to an Azure SQL Database that is secured behind a private endpoint. Which configuration is required on the Container Apps environment?

Hard
91

You are deploying a high-performance AI model in AKS. You need to ensure the container has access to the underlying host's NVIDIA GPU. What must be configured in the Pod spec?

Hard
92

You are setting up auto-scaling for a containerized AI web app in Azure Container Apps. You want to scale based on the number of concurrent HTTP requests. Which scaler do you use?

Medium
93

You notice that your AKS pods are stuck in 'ContainerCreating' state. You check the events and see 'FailedMount'. What is the most likely cause?

Hard
94

Which TWO of the following are valid ways to authenticate an AKS cluster to an Azure Container Registry?

Easy
95

Which TWO of the following features help manage traffic to containerized applications?

Medium
96

Which TWO of the following techniques help optimize the performance of containerized AI models in AKS?

Hard
97

You are integrating Azure Container Registry with Azure Kubernetes Service. You want to enable authentication without storing static credentials (username/password) in Kubernetes secrets. What is the recommended integration method?

Hard
98

You have an AI scoring script that runs periodically. You want to execute this containerized workload on a schedule without managing virtual machines. Which Azure service is best suited for running containerized batch jobs on a schedule?

Medium
99

You have an AI model container hosted in Azure Container Registry. You want to ensure that every container image pushed to the registry is automatically scanned for known vulnerabilities before deployment. Which ACR feature should you enable?

Medium
100

You want to limit the CPU resources that a specific AI inference pod can consume. Which Kubernetes field do you configure?

Easy
101

You are deploying an AI model container in Azure Container Apps. Which TWO authentication mechanisms can you configure for securely pulling the image from a private Azure Container Registry?

Medium
102

Your team pushes custom AI model container images to Azure Container Registry (ACR). Company policy states that all container images must be automatically scanned for Common Vulnerabilities and Exposures (CVEs) upon push. Which ACR service tier must you use to meet this requirement using Microsoft Defender for Cloud?

Easy
103

You are deploying an AI model container to Azure Container Apps. The container application needs to securely connect to an Azure SQL Database without storing plain-text database credentials in environment variables or application code. What is the recommended feature to use?

Medium
104

You are configuring an Azure Kubernetes Service (AKS) cluster to host GPU-accelerated AI model inference workloads using NVIDIA GPUs. Which component must you install in the cluster to enable containerized workloads to utilize the GPU nodes?

Medium
105

You are configuring secure ingress and network isolation for an Azure Container Apps environment. Which THREE capabilities are supported when configuring networking for Container Apps? (Choose three.)

Hard
106

You are using Azure Container Apps to host a web API for an AI model. You want to ensure that only authorized traffic reaches the container. How should you secure the endpoint?

Easy
107

You want to track the latency of your model inference API in production. Which Azure tool should you integrate into your containerized application?

Medium
108

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?

Hard
109

You are troubleshooting a containerized AI model deployment in Azure Container Apps that fails to pass its HTTP readiness probe. You need to inspect the container logs and runtime diagnostics. Which THREE tools or commands can you use to troubleshoot this issue? Each correct answer presents a complete solution.

Hard
110

You need to deploy a set of batch AI processing containers in Azure Container Instances that run to completion and then terminate. Which container group restart policy should you select?

Medium
111

You are configuring TLS termination for an AI model API hosted in Azure Container Apps using a custom domain name. Where must you upload or configure the custom SSL certificate?

Hard
112

Which Azure feature allows you to scan images in your registry for vulnerabilities before deploying them to your production cluster?

Easy
113

You are deploying an AI model container to Azure Container Apps. The container requires persistent storage to cache downloaded Hugging Face model weights across container restarts. Which storage type should you attach to the Container App?

Medium
114

You are deploying a custom PyTorch model container image to Azure Container Apps. The container needs to scale out based on HTTP concurrent requests. Which built-in scale rule type should you configure in Azure Container Apps?

Easy
115

You are deploying an AI workload to Azure Container Apps. You need to ensure the container scales down to zero when there is no traffic. What should you configure?

Medium
116

Your organization requires that container images stored in Azure Container Registry (ACR) comply with security standards. Which TWO actions can you take to secure container images in ACR? (Choose two.)

Easy
117

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

Hard

Frequently asked questions

What does the Containerized AI Workloads domain cover on the AI-200 exam?
Containerized AI Workloads questions test whether you can apply the concept in context, not just recognise a definition.
How many questions are in this domain?
This page lists all 117 Containerized AI Workloads questions in the AI-200 question bank. The actual exam draws from this domain proportionally to its weighting in the official exam blueprint.
What is the best way to practise this domain?
Start with a short focused session (10 questions) to identify gaps, then work through explanations. Repeat with a longer session once the weak areas feel solid.
Can I practise only Containerized AI Workloads questions?
Yes — the session launcher on this page filters questions to this domain only. Choose any session length for inline explanations and scoring.
microsoft-ai200 MICROSOFT-AI200 containerized ai workloads Practice Questions