AI-900 Practice

Play an AI-generated podcast conversation about this lesson

For a machine learning progress, how should you split data for training and evaluation?

Use labels for training and features for evaluation

Use features for training and labels for evaluation

Randomly split the data into rows for training and rows for evaluation (correct)

Randomly split the data into columns for training and columns for evaluation

You build a machine learning model by using the automated machine learning user interface (UI).

You need to ensure the model meets the Microsoft transparency principal for responsible AI. What should you do?

Enable Explain best model (correct)

Set Validation type to Auto

Set Primary metric to accuracy

Set Max concurrent iterations to 0

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft ___ principle for responsible AI.

Privacy and security

Inclusiveness

Reliability and safety (correct)

Transparency

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use?

Computer vision Signup and view all the answers

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

Regression Signup and view all the answers

A banking system that predicts whether a loan will be repaid is an example of what type of machine learning?

Classification Signup and view all the answers

Which type of AI workload relies on sensors to proactively detect and impending failure of electronic equipment?

Anomaly detection Signup and view all the answers

A validation set includes the set of input examples that will be used to train a model.

False Signup and view all the answers

Which two actions are performed during the data ingestion and data preparation state of an Azure Machine Learning process?

A. Combine multiple datasets
B. Score test data by using the model
C. Remove records that have missing values
D. Use the model for real-time predictions
E. Calculate the accuracy of the model

A, C Signup and view all the answers

In Azure Machine Learning studio, what can you use to author regression machine learning pipelines using a drag-and-drop interface?

Designer Signup and view all the answers

AI-900 Practice

Podcast Beta

Questions and Answers

For a machine learning progress, how should you split data for training and evaluation?

You build a machine learning model by using the automated machine learning user interface (UI).

You need to ensure the model meets the Microsoft transparency principal for responsible AI. What should you do?

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft ___ principle for responsible AI.

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use?

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A banking system that predicts whether a loan will be repaid is an example of what type of machine learning?

Which type of AI workload relies on sensors to proactively detect and impending failure of electronic equipment?

A validation set includes the set of input examples that will be used to train a model.

In Azure Machine Learning studio, what can you use to author regression machine learning pipelines using a drag-and-drop interface?

Upgrade to continue

AI-900 Practice

Podcast Beta

Questions and Answers

For a machine learning progress, how should you split data for training and evaluation?

You build a machine learning model by using the automated machine learning user interface (UI). You need to ensure the model meets the Microsoft transparency principal for responsible AI. What should you do?

The handling of unusual or missing values provided to an AI system is a consideration for the Microsoft ___ principle for responsible AI.

Your company wants to build a recycling machine for bottles. The recycling machine must automatically identify bottles of the correct shape and reject all other items. Which type of AI workload should the company use?

Which type of machine learning should you use to predict the number of gift cards that will be sold next month?

A banking system that predicts whether a loan will be repaid is an example of what type of machine learning?

Which type of AI workload relies on sensors to proactively detect and impending failure of electronic equipment?

A validation set includes the set of input examples that will be used to train a model.

In Azure Machine Learning studio, what can you use to author regression machine learning pipelines using a drag-and-drop interface?

You build a machine learning model by using the automated machine learning user interface (UI).

You need to ensure the model meets the Microsoft transparency principal for responsible AI. What should you do?