Microsoft Azure AI Fundamentals: AI-900

Correct Answer:

Regression is a machine learning task that is used to predict the value of the label from a set of related features.

Reference: https://docs.microsoft.com/en-us/dotnet/machine-learning/resources/tasks

Correct Answer: A

Understand steps for clustering

You can think of the steps to train and evaluate a clustering machine learning model as:

1.

Prepare data: Identify the features and label in a dataset. Pre-process, or clean and transform, the data as needed.

2.

Train model: Split the data into two groups, a training and a validation set. Train a machine learning model using the training data set. Test the machine learning model for performance using the validation data set.

3.

Evaluate performance.

4.

Deploy a predictive service: After you train a machine learning model, you need to convert the training pipeline into a real-time inference pipeline. Then you can deploy the model as an application on a server or device so that others can use it.

Reference: https://learn.microsoft.com/en-us/azure/machine-learning/component-reference/train-clustering-model

Correct Answer: B

Microsoft Azure Form Recognizer is an automated data processing system that uses AI and OCR to quickly extract text and structure from documents. Reference: https://azure.microsoft.com/en-us/products/form-recognizer/