AI questions 5

What is the purpose of machine learning?

• To manually analyze large datasets

• To create predictive models by finding relationships in data

• To replace all manual labor with automation

• To build hardware for data storage

Which type of machine learning involves labeled training data?

• Supervised learning

• Unsupervised learning

• Clustering

• Reinforcement learning

What is a primary characteristic of clustering in machine learning?

• It uses labels to predict outcomes

• It groups similar items together

• It predicts numeric values

• It uses reinforcement algorithms

What is Azure Machine Learning Designer used for?

• Writing machine learning code

• Managing Azure subscriptions

• Creating and deploying machine learning pipelines

• Collecting labeled datasets

What is the main feature of Automated Machine Learning in Azure?

• It provides hardware for training models

• It automates finding the best model for the data

• It labels datasets automatically

• It visualizes data in 3D

What are the steps involved in model training and validation?

• Splitting the data into training and validation sets

• Applying an algorithm to fit the data to a model

• Using a validation set to predict and compare outcomes

• Publishing the model directly after training

What are the key components of Azure Machine Learning?

• Compute resources

• Azure ML Workspace

• Automated Machine Learning

• Cloud gaming services

What are examples of supervised machine learning tasks?

• Regression

• Classification

• Clustering

• Predicting house prices

Which features describe unsupervised machine learning?

• It uses labeled data

• It identifies patterns in unlabeled data

• It includes clustering tasks

• It predicts specific numeric outcomes

What are benefits of using Automated Machine Learning?

• It reduces the time needed for experimentation

• It eliminates the need for data preparation

• It selects the best algorithm automatically

• It supports scalability and efficiency