AI Azure AI Engineer 3

Question 1

A model trained on historical loan data consistently under-predicts default risk for a specific demographic group. This is an example of:

Accepted Answer

Algorithmic bias

Answer

Algorithmic bias occurs when a model produces systematically skewed outcomes for a protected group, often due to imbalanced or unrepresentative training data.

Question 2

Which Azure tool helps detect when a deployed model's input data distribution shifts significantly from its training data?

Accepted Answer

Azure Machine Learning Data Drift Monitor

Answer

Azure ML Data Drift Monitor compares baseline training data statistics against live inference data and alerts when drift exceeds a configured threshold.

Question 3

In the Azure AI Foundry prompt flow, what is the primary role of a 'tool node'?

Accepted Answer

Executing code or calling external APIs as a step in the flow

Answer

Tool nodes in prompt flow encapsulate executable logic—Python functions or API calls—that transform data between LLM steps.

Question 4

Which Azure service provides pre-built AI models for document understanding, including invoice and receipt extraction, without custom training?

Accepted Answer

Azure Form Recognizer (Document Intelligence)

Answer

Azure AI Document Intelligence includes pre-built models for common document types like invoices, receipts, and ID documents that work out of the box.

Question 5

When fine-tuning an Azure OpenAI model, what file format is required for the training dataset?

Accepted Answer

JSONL with chat completion format

Answer

Azure OpenAI fine-tuning requires JSONL files where each line is a JSON object with a 'messages' array following the chat completion schema.

AI - Engineer Practice Test

AI - Engineer Practice Test

AI Azure AI Engineer 3