Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 5

Question 1

Which Azure AI capability would you use to enable a call center application to automatically convert customer speech into text for analysis?

Accepted Answer

Speech-to-Text (Speech Recognition)

Answer

Speech-to-Text transcribes spoken audio into written text in real time, making it ideal for call center transcription and analysis.

Question 2

What is 'transfer learning' in machine learning?

Accepted Answer

Applying knowledge learned from one task to improve performance on a different but related task

Answer

Transfer learning reuses a pre-trained model's learned representations as a starting point for a new task, reducing training time and data requirements.

Question 3

Which responsible AI principle focuses on ensuring that AI system decisions can be understood and explained to users?

Accepted Answer

Transparency

Answer

Transparency means AI systems should be understandable — users and stakeholders should be able to see how and why decisions were made.

Question 4

What is the purpose of the 'Content Moderator' service in Azure Cognitive Services?

Accepted Answer

To detect potentially offensive, risky, or unwanted content in text and images

Answer

Azure Content Moderator scans text, images, and video for explicit, offensive, or otherwise policy-violating content to support safe online platforms.

Question 5

In Azure Machine Learning, what is the difference between 'inference' and 'training'?

Accepted Answer

Training builds the model by learning from data; inference uses the trained model to make predictions

Answer

Training is the process of fitting a model to data to learn patterns, while inference is using that trained model to generate predictions on new input data.

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Practice Test

Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 5