Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 2 — Questions and Answers
Question 1: Which Azure service provides pre-built AI models for vision, speech, language, and decision-making through REST APIs?
- Azure Machine Learning
- Azure Cognitive Services (Correct answer)
- Azure Databricks
- Azure Synapse Analytics
Correct answer: Azure Cognitive Services
Azure Cognitive Services offers pre-built AI capabilities accessible via REST APIs without requiring ML expertise.
Question 2: What is the primary purpose of Azure Bot Service?
- To train custom machine learning models
- To build, connect, and manage intelligent chatbots (Correct answer)
- To process large-scale data pipelines
- To monitor AI model performance
Correct answer: To build, connect, and manage intelligent chatbots
Azure Bot Service provides an integrated environment for developing, deploying, and managing conversational AI bots.
Question 3: In Azure Machine Learning, what is an 'experiment'?
- A deployed web service endpoint
- A named grouping of training runs used to track metrics (Correct answer)
- A type of compute cluster
- A data labeling project
Correct answer: A named grouping of training runs used to track metrics
An experiment in Azure ML is a named container that groups related runs, allowing you to compare metrics and outputs across training iterations.
Question 4: Which type of machine learning problem would you use to predict whether an email is spam or not spam?
- Regression
- Clustering
- Binary classification (Correct answer)
- Object detection
Correct answer: Binary classification
Spam detection is a binary classification problem because the output is one of two discrete categories: spam or not spam.
Question 5: What does the 'Text Analytics' feature in Azure Cognitive Services help identify?
- Objects within images
- Sentiment, key phrases, and entities in text (Correct answer)
- Speech-to-text transcription errors
- Anomalies in time-series data
Correct answer: Sentiment, key phrases, and entities in text
Text Analytics can detect sentiment (positive/negative/neutral), extract key phrases, and identify named entities like people, places, and organizations.
Question 6: Which principle of Responsible AI ensures that AI systems work correctly for all users regardless of demographic group?
- Privacy and Security
- Reliability and Safety
- Fairness (Correct answer)
- Transparency
Correct answer: Fairness
Fairness means AI systems should treat all people equitably and avoid biased outcomes based on characteristics like gender, race, or age.
Question 7: What is 'feature engineering' in the context of machine learning?
- Designing the neural network architecture
- Selecting and transforming raw data into inputs that improve model performance (Correct answer)
- Evaluating a model on a test dataset
- Deploying a model to production
Correct answer: Selecting and transforming raw data into inputs that improve model performance
Feature engineering involves selecting, transforming, and creating input variables from raw data to help the model learn patterns more effectively.
Microsoft Azure AI Fundamentals Microsoft Azure AI Fundamentals 2
Which Azure service provides pre-built AI models for vision, speech, language, and decision-making through REST APIs?