9. Deep Learning Inference with Azure ML Studio

Deep Learning Inference with Azure ML Studio

by Coursera Project Network

Graded Quiz Answers :

1.Question 1

How do you deploy a trained model?

1 / 1 point

As an Azure web service

As a training experiment

As a predictive experiment

2.Question 2

Once your web service is deployed, users can send data to your model and receive the model's predictions programatically.

1 / 1 point

True

False

3.Question 3

What is MNIST?

1 / 1 point

A machine learning standard developed by NIST (National Institute of Standards and Technology)

A large database of handwritten digits

4.Question 4

Which of the following models did we train and use to predict handwritten digits?

1 / 1 point

5.Question 5

Once you have trained and scored your model, you are now ready to create a web service from an Azure Machine Learning prediction model. When the experiment run completes successfully, you will be guided to create a Scoring or Prediction Experiment. What steps are involved in preparation for deployment? (Select all that apply)

1 / 1 point

Remove one ofthe models

Convert the training experiment you’ve created into a predictive experiment

Deploy the predictive experiment as a web service

Set up a web server to receive test data for inference

6.Question 6

Azure Machine Learning Studio experiments require no sign-in. They can be run using guest accounts.

1 / 1 point

True

False