Difference between a Job that is tied to a Project vs Recipe + Dataset

Question

When you create a job you can associate it with a project OR specifically enter the dataset and recipe to be used.  
Say we have Project_A that uses Recipe_A and Dataset_A.  
What would be the difference of creating a job by using Project_A vs specifying Recipe_A + Dataset_A.  
Would they be identical?

AWS-User-8125078 · Answer

The main difference is in the use case, whether you're in an experimental phase of building up a recipe and trying it out (via a project job) or operationalizing (via a standalone recipe job).  
  
A standalone recipe job (Recipe_A + Dataset_A) also requires that your recipe is published - 1.0, 2.0, etc. With the project job DataBrew implicitly creates a snapshot of the Working version of the recipe as a new minor version - 0.2, 0.3, etc  
  
Hope this helps clarify!  
- Romi

RagingWonton · Answer

This makes sense -- thanks for the reply!

Difference between a Job that is tied to a Project vs Recipe + Dataset

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