AI-200 Practice Test 8 — 10 Questions

Question 1

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 2

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 3

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 4

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 5

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 6

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 7

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 8

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 9

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 10

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