AI-200 Practice Test 24 — 15 Questions

Question 1

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

Accepted Answer

Network connectivity issues to ACR.. Incorrect credentials, network issues, and invalid tags are common failure points.

Answer

The node has too much memory.

Answer

The container is running too fast.

Question 2

You are planning the disaster recovery and high availability strategy for an Azure AI Search service storing critical vector indexes for an AI assistant. Which THREE practices should you implement? (Choose three)

Accepted Answer

Configure at least two replicas for high availability during service updates. Ensuring high availability and DR for Azure AI Search involves configuring multiple replicas, deploying across Availability Zones, and establishing geo-replication architectures.

Answer

Store all vector embeddings as flat text files in local VM temp storage

Answer

Rely solely on the Free tier with automated backups

Question 3

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?

Accepted Answer

Assign a workload profile that supports GPU instances.. Azure Container Apps supports GPU-enabled nodes. You must select a workload profile that supports GPUs during the environment creation.

Answer

Enable the 'GPU-enabled' flag in the Container App resource settings.

Answer

Set the --gpu-count parameter in the Azure CLI deploy command.

Answer

Install the NVIDIA CUDA driver manually inside the container image.

Question 4

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.

Accepted Answer

Access the Azure Portal and use the Console diagnostic tool for the specific container app revision.. To troubleshoot Azure Container Apps, you can use the Azure CLI command 'az containerapp logs show', inspect the Log Analytics workspace where system and console logs are streamed, or use the Azure Portal Container Apps console diagnostic tools.

Answer

Execute az aks browse to open the Kubernetes dashboard.

Answer

Use kubectl describe pod to inspect Kubernetes events.

Question 5

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

Accepted Answer

Azure Container Registry.. Azure Container Registry (ACR) provides private storage and fine-grained access control for organizational images.

Answer

Docker Hub (Free).

Answer

GitHub Container Registry.

Answer

Local hard drive.

Question 6

When designing a hybrid search architecture that integrates Azure AI Search with an Azure OpenAI embedding model, which THREE challenges must you typically address regarding data management and retrieval? (Choose three)

Accepted Answer

Ensuring model version consistency between ingestion embeddings and query embeddings. Designing hybrid search architectures involves managing embedding model versioning/consistency, handling token limits during chunking, and optimizing re-indexing strategies when data changes.

Answer

Provisioning HDInsight Hadoop clusters for vector distance calculations

Answer

Configuring Azure SQL Server relational foreign key cascading deletes

Question 7

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?

Accepted Answer

ACR Tasks.. ACR Tasks can trigger deployments or build processes automatically upon push events.

Answer

Azure Service Bus.

Answer

Azure Policy.

Answer

Azure Logic Apps.

Question 8

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

Accepted Answer

resources.limits.. The 'resources.limits' field in the container spec defines the maximum CPU and memory a pod can use.

Answer

resources.requests.

Answer

securityContext.

Answer

livenessProbe.

Question 9

You are designing a secure enterprise generative AI platform using Azure AI Search and Azure OpenAI. Which THREE security practices should you implement to protect sensitive data and access? (Choose three)

Accepted Answer

Implement Azure RBAC to restrict index management and data query permissions. Securing AI search and embedding stores involves using managed identities, restricting network access via private endpoints, and enforcing role-based access control.

Answer

Disable transport layer security (TLS) to speed up embedding transmission

Answer

Store all API keys in plain text configuration files on public web servers

Question 10

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?

Accepted Answer

Analyze metrics in Azure Monitor for Containers.. Azure Monitor or Prometheus/Grafana integration provides the metrics needed to compare usage against defined limits.

Answer

Run 'free -m' inside the container.

Answer

Check the pod 'Events'.

Answer

Use 'kubectl top nodes'.

Question 11

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?

Accepted Answer

Node placement with GPU-optimized VM series (such as NDm A100 v4) and InfiniBand support. Distributed deep learning frameworks require low-latency networks; InfiniBand or high-performance SR-IOV enabled GPU VMs (like ND-series) with MPI are standard. In AKS, Azure CNI with appropriate networking and node selection enables high-performance setups.

Answer

Kubenet basic networking with dynamic NAT

Answer

Azure Application Gateway Ingress Controller (AGIC)

Answer

Standard Azure CNI with Network Policies enabled

Question 12

When configuring an Azure Cosmos DB for NoSQL container to store embeddings, what data type must the vector property be stored as within the JSON document?

Accepted Answer

An array of 32-bit floating-point numbers. In Azure Cosmos DB for NoSQL, vector embeddings must be stored as an array of 32-bit floating-point numbers (float32).

Answer

A base64 encoded string

Answer

An array of integers

Answer

A binary blob

Question 13

You need to ensure that all data sent to Azure OpenAI Service is encrypted at rest using a custom encryption key that your organization controls and rotates. Which feature must you configure?

Accepted Answer

Customer-managed keys (CMK) stored in Azure Key Vault. Customer-managed keys (CMK) with Azure Key Vault allow you to use your own keys to encrypt data stored in Azure AI services.

Answer

Client-side encryption using PGP keys before sending HTTP payloads

Answer

Azure Information Protection sensitivity labels applied via Microsoft Purview

Answer

Transparent Data Encryption (TDE) configured via SQL Server Management Studio

Question 14

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?

Accepted Answer

Use a nodeSelector for 'sku=gpu'.. Using nodeSelectors or nodeAffinity is the standard Kubernetes way to restrict pod placement to specific node types.

Answer

Use a DaemonSet.

Answer

Define a Resource Request for RAM.

Answer

Add a Kubernetes Taint to the GPU nodes.

Question 15

When configuring an Azure AI Search vector profile, which TWO elements must be successfully referenced together to make the profile functional? (Choose two)

Accepted Answer

An algorithm configuration name. A vector profile in Azure AI Search links a vectorizer (optional or required for integrated vectorization) and an algorithm configuration to define how vectors are indexed and queried.

Answer

A Cognitive Services storage blob container

Answer

An Azure SQL connection string

Answer

A Cosmos DB throughput RU/s setting