AI-900 Comprehensive Quiz 2

Which of the following statements about Azure Machine Learning designer is true?

• It provides a drag-and-drop visual canvas to build, test, and deploy machine learning models.

• It enables you to include custom JavaScript functions.

• It does not allow saving progress as a pipeline draft.

• It only supports text-based coding for model creation.

Answer explanation

The correct statement is that Azure Machine Learning designer provides a drag-and-drop visual canvas, allowing users to easily build, test, and deploy machine learning models without needing extensive coding.

What feature does Azure Machine Learning designer offer regarding pipeline drafts?

• It allows saving progress as a pipeline draft.

• It automatically deletes pipeline drafts after a session.

• It does not support pipeline drafts.

• It requires manual saving of pipeline drafts.

Answer explanation

Azure Machine Learning designer allows users to save their progress as a pipeline draft, enabling them to return and continue their work later. This feature enhances workflow efficiency and project management.

In the context of a dataset used to train a model for predicting house price categories, what role does "Household Income" play?

• A feature

• A label

• A constant

• An outlier

Answer explanation

In this context, 'Household Income' serves as a feature, which is an input variable used to help predict the house price categories. It provides relevant information that can influence the model's predictions.

In a dataset for predicting house price categories, what role does "House Price Category" play?

• A feature

• A label

• A constant

• An outlier

Answer explanation

In this dataset, 'House Price Category' serves as a label that indicates the target variable we want to predict, rather than a feature used for prediction. Thus, the correct choice is 'A label'.

Azure Machine Learning designer lets you create machine learning models by:

• Adding and connecting modules on a visual canvas.

• Automatically performing common data preparation tasks.

• Automatically selecting an algorithm to build the most accurate model.

• Using a code-first notebook experience.

Answer explanation

Azure Machine Learning designer allows users to create models by adding and connecting modules on a visual canvas, making it intuitive and user-friendly. The other options describe features not specific to the designer.

A medical research project uses a large anonymized dataset of brain scan images that are categorized into predefined brain haemorrhage types. You need to use machine learning to support early detection of the different brain haemorrhage types in the images before the images are reviewed by a person. This is an example of which type of machine learning?

• clustering

• regression

• classification

• reinforcement learning

Answer explanation

This scenario involves categorizing brain scan images into predefined types, which is a typical classification task in machine learning. Classification is used to identify and label data points based on learned patterns.

When training a model, why should you randomly split the rows into separate subsets?

• To train the model twice to attain better accuracy

• To train multiple models simultaneously to attain better performance

• To test the model by using data that was not used to train the model

Answer explanation

Randomly splitting the data allows you to test the model on unseen data, ensuring it generalizes well. This helps evaluate its performance accurately, as the model is assessed on data it hasn't encountered during training.

You are evaluating whether to use a basic workspace or an enterprise workspace in Azure Machine Learning. What are two tasks that require an enterprise workspace? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point.

• Use a graphical user interface (GUI) to run automated machine learning experiments.

• Create a compute instance to use as a workstation.

• Use a graphical user interface (GUI) to define and run machine learning experiments from Azure Machine Learning designer.

• Create a dataset from a comma-separated value (CSV) file.

Answer explanation

The tasks that require an enterprise workspace are using a GUI to run automated machine learning experiments and defining/running experiments in Azure Machine Learning designer, as these features are not available in basic workspaces.

You need to predict the income range of a given customer by using the following dataset. Which two fields should you use as features? Each correct answer presents a complete solution.

• Education Level

• Last Name

• Age

• Income Range

• First Name

Answer explanation

Education Level and Age are relevant features for predicting income range, as they can influence a customer's earning potential. Last Name and First Name are not predictive, and Income Range is the target variable, not a feature.

You are building a tool that will process images from retail stores and identify the products of competitors. The solution will use a custom model. Which Azure Cognitive Services service should you use?

• Custom Vision

• Form Recognizer

• Face

• Computer Vision

Answer explanation

Custom Vision is designed for building custom image classification models, making it ideal for identifying products in retail images. Other services like Form Recognizer and Computer Vision do not specialize in custom product recognition.