AI-300 Multiple Select — 10 Questions

Question 1

You need to implement a retraining trigger based on performance degradation. Which TWO metrics should you monitor to decide when to retrain?

Accepted Answer

Model prediction precision. Accuracy and precision are key performance indicators that signify model decay.

Answer

CPU usage of the inference cluster

Answer

Network latency

Answer

Number of active users

Question 2

You are optimizing your Azure ML pipeline performance. Which THREE steps should you take to reduce execution time?

Accepted Answer

Mount datasets instead of downloading them.. Caching (reuse), parallelizing steps, and using efficient data access methods are key.

Answer

Increase the number of workspaces.

Answer

Use smaller compute clusters for everything.

Question 3

Which THREE metrics can be logged during training to track performance in Azure ML?

Accepted Answer

Model accuracy.. Accuracy, loss, and custom metrics are standard loggable items.

Answer

Compute instance IP address.

Answer

Workspace subscription ID.

Question 4

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 5

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 6

Which TWO methods are best for debugging an LLM pipeline that fails on complex queries?

Accepted Answer

Inspecting raw input and output tokens via logs.. Prompt logging and trace inspection are the best ways to understand why a model fails on specific inputs.

Answer

Increasing the number of API users.

Answer

Disabling all security controls.

Answer

Deleting the deployment and rebuilding it.

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

Which TWO of the following can be used to manage Azure ML assets like environments and models?

Accepted Answer

Azure CLI v2. The Azure ML Studio UI and the CLI v2 are both primary interfaces for asset management.

Answer

Azure Monitor

Answer

Azure Logic Apps

Answer

Power BI

Question 9

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 10

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.