AI Engineer: Designing and Implementing an Azure [AI-100] 3

Question 1

You are building a knowledge-mining solution. Which Azure service allows you to use AI enrichment skills (OCR, entity extraction) during indexing of documents?

Accepted Answer

Azure Cognitive Search with AI enrichment

Answer

Azure Cognitive Search supports AI enrichment pipelines called skillsets that apply cognitive skills during document indexing.

Question 2

A custom vision model trained in Azure Custom Vision needs to run on an IoT Edge device without internet connectivity. What should you do?

Accepted Answer

Export the model as a Docker container and deploy it to IoT Edge

Answer

Azure Custom Vision supports exporting trained models as Docker containers for offline deployment on edge devices.

Question 3

You need to build a multi-turn conversational bot that maintains context across turns. Which bot framework capability enables this?

Accepted Answer

Dialog state management

Answer

Dialog state management in the Bot Framework SDK persists conversation state across multiple turns.

Question 4

Which pricing tier of Azure Cognitive Services provides a Service Level Agreement (SLA) guarantee?

Accepted Answer

Standard (S) tier

Answer

Only the Standard (S) paid tier of Azure Cognitive Services includes SLA commitments; the Free tier does not.

Question 5

Your team wants to monitor model drift for a deployed Azure Machine Learning model over time. Which feature should you use?

Accepted Answer

Data drift detection in Azure Machine Learning

Answer

Azure Machine Learning's data drift detection compares incoming scoring data against the training dataset to identify distribution shifts.

AI - Engineer Practice Test

AI - Engineer Practice Test

AI Engineer: Designing and Implementing an Azure [AI-100] 3