AI-200 Practice Test 3 — 30 Questions

Question 1

You are configuring vector search options in Azure Cosmos DB for NoSQL. Which TWO distance metrics are supported when defining a vector embedding policy? (Choose two)

Accepted Answer

euclidean. Azure Cosmos DB for NoSQL supports cosine, dotproduct, and euclidean distance metrics for vector similarity search.

Answer

hamming

Answer

manhattan

Answer

jaccard

Question 2

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

Accepted Answer

Microsoft Defender for Containers.. Microsoft Defender for Containers (formerly Defender for ACR) provides scanning for images in ACR.

Answer

Azure Monitor.

Answer

Azure Key Vault.

Answer

Azure Policy.

Question 3

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.

Accepted Answer

Enable GPU time-slicing or NVIDIA Multi-Instance GPU (MIG) configuration.. To achieve GPU sharing in AKS, you can utilize the NVIDIA GPU Operator alongside Kubernetes device plugins or time-slicing features, which enable multiple containers to share a single physical GPU.

Answer

Set the pod priority class to system-node-critical.

Answer

Deploy the KEDA scaler with an Azure Queue trigger.

Answer

Configure the Azure CNI plugin for dynamic IP allocation.

Question 4

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

Accepted Answer

Azure Private Link.. Private Link allows you to access ACR over a private IP address from your VNET.

Answer

Azure Bastion.

Answer

Public access with firewall rules.

Answer

VPN Gateway.

Question 5

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

Accepted Answer

az acr.. The Azure CLI (az acr) is the standard tool for managing ACR resources.

Answer

helm.

Answer

docker build.

Answer

kubectl.

Question 6

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?

Accepted Answer

Traffic splitting between revisions.. Blue-Green or Canary deployments in ACA allow traffic shifting between revisions without downtime.

Answer

Overwrite the current revision.

Answer

Rolling update.

Answer

Scale to zero and redeploy.

Question 7

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

Accepted Answer

Cluster Autoscaler (CA).. Horizontal Pod Autoscaler and Cluster Autoscaler are the two main ways to scale AKS.

Answer

Manual registry scaling.

Answer

Storage capacity scaling.

Answer

Azure Service Bus scaling.

Question 8

You are using Azure OpenAI Service to generate embeddings for your documents before storing them in Azure Cosmos DB for NoSQL. The embedding model outputs vectors with a length of 1536. When defining the vector embedding policy in Cosmos DB, what value should you specify for the dimensions property?

Accepted Answer

1536. The dimensions property in the Azure Cosmos DB vector embedding policy must exactly match the output dimensions of the embedding model used (1536 for text-embedding-ada-002).

Answer

3072

Answer

512

Answer

768

Question 9

You are optimizing search performance in Azure AI Search. You notice that vector queries are consuming excessive memory and slowing down. You decide to enable exhaustive k-NN fallback for specific queries. What does exhaustive k-NN do?

Accepted Answer

It searches all vectors exactly without relying on an approximate nearest neighbor graph. Exhaustive k-NN performs an exact search over all vectors in the index rather than an approximate search using an HNSW graph, ensuring 100% recall at the expense of higher query latency.

Answer

It compresses the vector index by 50%

Answer

It shards the index across multiple search units

Answer

It caches query results in Redis

Question 10

Which distance metric in Azure Cosmos DB vector search calculates the inner product of two vectors, measuring both magnitude and angle?

Accepted Answer

dotproduct. The dotproduct distance metric computes the inner product of two vectors.

Answer

cosine

Answer

euclidean

Answer

manhattan

Question 11

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

Accepted Answer

Use a node pool with GPU-enabled VMs.. You must use a GPU-enabled node pool and request GPU resources in the pod specification.

Answer

Enable the 'Privileged' flag in the Dockerfile.

Answer

Set the pod to run as root.

Answer

Install the NVIDIA driver on the local machine.

Question 12

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

Accepted Answer

Tune pod resource limits and requests.. Resource tuning and node selection are the most effective ways to optimize performance.

Answer

Disable all logging.

Answer

Use the standard CNI instead of Azure CNI.

Answer

Increase the replica count to 100 for all services.

Question 13

When configuring vector search in Azure Cosmos DB for NoSQL, which TWO components must be defined within the container's indexing policy? (Choose two)

Accepted Answer

vectorEmbeddingPolicy. Cosmos DB vector indexing requires defining both the vector embedding policy and the vector indexes array in the indexing policy.

Answer

fullTextPolicy

Answer

spatialIndexes

Answer

partitionKeyDefinition

Question 14

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

Accepted Answer

Service Mesh (Istio/Linkerd).. Ingress controllers and Service Mesh (like Istio) are the standard tools for traffic management.

Answer

Azure Monitor.

Answer

Azure Key Vault.

Answer

Azure Blob Storage.

Question 15

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

Accepted Answer

Network policies for pod communication isolation.. Security, performance, and monitoring are key components for any production AI cluster.

Answer

Always run every pod as privileged.

Answer

Disable all internal firewalls.

Question 16

When configuring an Azure AI Search vector index, which TWO parameters can be adjusted within the HNSW algorithm configuration to trade off between search speed, memory usage, and recall accuracy? (Choose two)

Accepted Answer

efSearch. In HNSW, parameters like m (links per node) and efSearch (size of candidate list during search) allow tuning between recall accuracy and query performance.

Answer

replicaCount

Answer

partitionCount

Answer

maxTextLength

Question 17

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

Accepted Answer

RUN (Installation of libraries/tools).. Base image, dependency installation, and the application entrypoint are core components.

Answer

CLUSTER_CREATE.

Answer

AZURE_LOGIN (Manual login).

Question 18

Which distance metric in Azure Cosmos DB vector search calculates the shortest straight-line segment between two points in a multi-dimensional space?

Accepted Answer

euclidean. Euclidean distance measures the straight-line distance between two points in Euclidean space.

Answer

dotproduct

Answer

hamming

Answer

cosine

Question 19

Which Azure service provides a fully managed NoSQL database with native vector search capabilities and turnkey multi-region replication?

Accepted Answer

Azure Cosmos DB. Azure Cosmos DB provides managed NoSQL capabilities with built-in vector search and global distribution.

Answer

Azure Table Storage

Answer

Azure Blob Storage

Answer

Azure SQL Database

Question 20

Which Azure AI Search API parameter allows you to specify a vector query alongside traditional keyword search terms when executing a hybrid search?

Accepted Answer

vectorQueries. In Azure AI Search queries, the vectorQueries parameter is used to pass vector embedding query objects during search requests.

Answer

embeddingQuery

Answer

knnQuery

Answer

vectorSearchParam