- (Topic 2)
You use Azure Machine Learning designer to publish an inference pipeline.
Which two parameters should you use to consume the pipeline? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
Correct Answer:
CD
https://docs.microsoft.com/en-in/learn/modules/create-regression-model-azure-machine-learning-designer/deploy-service
HOTSPOT - (Topic 5)
Select the answer that correctly completes the sentence.
Solution:
Does this meet the goal?
Correct Answer:
A
HOTSPOT - (Topic 5)
Select the answer that correctly completes the sentence.
Solution:
Does this meet the goal?
Correct Answer:
A
FILL IN THE BLANK - (Topic 5)
To complete the sentence, select the appropriate option in the answer area. Computer vision capabilities can be Deployed to………………..
Solution:
Does this meet the goal?
Correct Answer:
A
DRAG DROP - (Topic 2)
You need to use Azure Machine Learning designer to build a model that will predict automobile prices.
Which type of modules should you use to complete the model? To answer, drag the appropriate modules to the correct locations. Each module may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Solution:
Box 1: Select Columns in Dataset
For Columns to be cleaned, choose the columns that contain the missing values you want to change. You can choose multiple columns, but you must use the same replacement method in all selected columns.
Example:
Box 2: Split data
Splitting data is a common task in machine learning. You will split your data into two separate datasets. One dataset will train the model and the other will test how well the model performed.
Box 3: Linear regression
Because you want to predict price, which is a number, you can use a regression algorithm. For this example, you use a linear regression model.
Does this meet the goal?
Correct Answer:
A
