COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
|
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
|
Select the correct option for creating real-time inferencing environments:
|
|
Create manually from Azure ML studio user interface
|
|
|
Create programmatically using code
|
|
|
Both
|
|
|
None
|
Explanation:
Detailed explanation-1: -Real-time, or interactive, inference is architecture where model inference can be triggered at any time, and an immediate response is expected. This pattern can be used to analyze streaming data, interactive application data, and more.
Detailed explanation-2: -Machine learning models are often used to generate predictions from large numbers of observations in a batch process. To accomplish this, you can use Azure Machine Learning to publish a batch inference pipeline.
There is 1 question to complete.