AI Engineer: Designing and Implementing an Azure [AI-100] 5

Question 1

You want to implement Responsible AI principles in your solution by detecting bias in model predictions across demographic groups. Which Azure tool supports this?

Accepted Answer

Fairlearn integrated with Azure Machine Learning

Answer

Fairlearn, integrated into Azure Machine Learning, provides metrics and visualizations to assess and mitigate model unfairness across demographic groups.

Question 2

Your team needs to share and version ML datasets across multiple Azure ML workspaces. What is the recommended approach?

Accepted Answer

Register datasets in each workspace using Azure ML registered datasets pointing to the same storage

Answer

Registering datasets in Azure ML workspaces with versioning lets teams track, share, and reproduce data assets while the underlying data lives in shared storage.

Question 3

You are configuring an Azure Cognitive Search skillset and need to call a custom Python function to enrich documents. What feature enables this?

Accepted Answer

Custom Web API skill pointing to an Azure Function endpoint

Answer

The Custom Web API skill in Azure Cognitive Search lets you call any HTTP endpoint, such as an Azure Function, to apply custom enrichment logic.

Question 4

When designing an Azure AI solution, you want to ensure that the system can explain individual predictions to end users. Which technique is most applicable?

Accepted Answer

Model interpretability using SHAP values in Azure ML

Answer

SHAP (SHapley Additive exPlanations) values, available through Azure ML's interpretability library, explain the contribution of each feature to individual predictions.

Question 5

Your Azure Bot sends proactive messages to users in Microsoft Teams. Which Bot Framework feature must be stored and reused to send proactive messages?

Accepted Answer

The conversation reference obtained from a previous turn

Answer

A conversation reference captured during an active turn contains the service URL and conversation ID needed to initiate proactive messages later.

AI - Engineer Practice Test

AI - Engineer Practice Test

AI Engineer: Designing and Implementing an Azure [AI-100] 5