AI-300 Genaiops Infrastructure Practice Test 3 — 15 Questions

Question 1

You are configuring a connection to a vector store. What is the best way to handle the secret credential?

Accepted Answer

Store in Azure Key Vault and reference in the connection.. Key Vault is the centralized store for all application secrets in Azure, which should be linked to the project connection.

Answer

Hardcode the key in the flow configuration.

Answer

Pass it as a parameter in the code.

Answer

Store it in an environment variable.

Question 2

You need to update a prompt flow without downtime. What deployment strategy should you use?

Accepted Answer

Use a Blue-Green deployment pattern.. Blue-Green or Canary deployments allow updating the model/flow without impacting existing users.

Answer

Directly overwrite the existing deployment.

Answer

Stop the service during the update.

Answer

Delete the old deployment and create a new one.

Question 3

Which TWO of the following are valid ways to authenticate to an Azure AI Foundry project?

Accepted Answer

API Keys.. Entra ID (RBAC) and API Keys are the two primary methods for securing access to AI resources.

Answer

Hardcoded usernames in the code.

Answer

Local file-based passwords.

Answer

Public IP allow-listing only.

Question 4

Which THREE of the following are components of an Azure AI Foundry project?

Accepted Answer

Prompt Flows.. Models, connections, and prompt flows are foundational components within the AI Foundry project environment.

Answer

Azure Key Vault (the resource itself).

Answer

Azure Subscriptions.

Question 5

You are planning a production GenAI deployment. Which THREE of the following are necessary infrastructure considerations?

Accepted Answer

Implementing Private Link for network isolation.. Security, scalability, and monitoring are the three pillars of a production-ready AI infrastructure.

Answer

Using the cheapest SKU regardless of capacity.

Answer

Hardcoding credentials in the code.

Question 6

You are deploying a model that requires specific GPUs. How do you ensure you get the right infrastructure?

Accepted Answer

Choose the correct SKU during model deployment.. Selecting the appropriate SKU (e.g., standard vs. GPU-optimized) during the deployment process ensures you get the required infrastructure.

Answer

Add the model to a resource group.

Answer

Update the OS of the node.

Answer

Request a quota increase for CPU.

Question 7

You are troubleshooting a failed agent deployment. Which TWO areas should you inspect first?

Accepted Answer

The endpoint availability status.. Deployment logs and endpoint connectivity are the primary sources for identifying deployment failures.

Answer

The Azure status page.

Answer

The user profile settings.

Answer

The billing usage report.

Question 8

Your team wants to monitor the safety of model outputs. Which THREE steps should you take?

Accepted Answer

Configure 'Diagnostic Logs' to track flagged content.. Setting up content filters, monitoring logs, and configuring alerts are key to ensuring output safety.

Answer

Allow all models to bypass filters for performance.

Answer

Disable all logging to save storage space.

Question 9

You want to automate the scaling of your AI agent orchestration. Which TWO components do you need to configure?

Accepted Answer

Autoscale policies.. Auto-scaling is driven by metrics and defined by policies that govern instance counts.

Answer

A manual human-in-the-loop review.

Answer

Hardcoded instance counts.

Answer

Static IP addresses.

Question 10

To optimize the cost of your AI infrastructure, which THREE actions should you consider?

Accepted Answer

Deleting unused model deployments.. Choosing the right SKU, cleaning up unused deployments, and using reserved capacity are standard cost-optimization steps.

Answer

Deploying all models in every available region.

Answer

Always selecting the 'Premium' SKU.

Question 11

Which THREE items should you keep track of in your AI Foundry project to ensure good governance?

Accepted Answer

Quota usage.. Governance relies on tracking tags, role assignments, and quotas.

Answer

User passwords.

Answer

Personal browser history.

Question 12

You are experiencing throttling on your AI endpoint. Which TWO steps should you take?

Accepted Answer

Check current usage against quota limits.. To resolve throttling, you need to either optimize usage or increase the available quota/capacity.

Answer

Disable all security features.

Answer

Change the model version to one that is faster but less smart.

Answer

Delete all existing deployments.

Question 13

Which THREE features does Azure AI Foundry provide to help developers?

Accepted Answer

Evaluation.. Model Catalog, Prompt Flow, and Evaluation are key developer-facing features in Azure AI Foundry.

Answer

Azure Active Directory creation.

Answer

Direct physical hardware access.

Question 14

When configuring a private endpoint for your Azure AI resource, which TWO of the following must be set up?

Accepted Answer

A virtual network with a dedicated subnet.. A private endpoint requires a target subnet and a private DNS zone for resolution.

Answer

A load balancer.

Answer

A firewall rule allowing all traffic.

Answer

A public IP address.

Question 15

Which THREE metrics are critical for monitoring the health of a GenAI deployment?

Accepted Answer

Request Latency.. Latency, throughput (tokens per second), and error rates are the standard health metrics for AI deployments.

Answer

User email addresses.

Answer

CPU Usage of the host node.