Azure AI Services and Principles

This video provides tips for the AI900 exam, covering Azure AI fundamentals. It discusses machine learning basics, Azure Machine Learning platform, and deploying models. The video also highlights AI principles and ethics, explores AI services like vision and language, and details Azure AI services and their applications.

What is the primary focus of the AI900 exam?

• Detailed coding skills

• Hands-on lab exercises

• Understanding Azure AI services

• Case study analysis

What is the first step in using Azure Machine Learning?

• Creating a dataset

• Deploying a model

• Creating a workspace

• Provisioning compute

Which of the following is a key AI principle?

• Profitability

• Fairness

• Complexity

• Speed

What is a key consideration when using AI models?

• Data privacy

• Model speed

• User interface

• Cost efficiency

What does the Azure Face service primarily focus on?

• Facial recognition

• Image classification

• Text analysis

• Speech translation

What is the purpose of semantic segmentation in computer vision?

• To color pixels based on objects

• To detect objects

• To analyze text

• To classify images

Which Azure service allows for speech translation?

• Text Analytics

• Speech Service

• Computer Vision

• Form Recognizer

Which service is used for creating a knowledge base in Azure?

• Q&A Maker

• Azure Bot Service

• Text Analytics

• Custom Vision

What is the role of the Azure Bot Service?

• To manage and publish bots

• To detect anomalies

• To translate text

• To analyze images

Which Azure service is not part of the general cognitive service?

• Text Analytics

• Custom Vision

• Form Recognizer

• Speech Service