You are tasked to use Azure Cognitive Search to make full-text search more effective. You use shaper skills to provide structure to the enriched output. You create aknowledge store to persist the output from the AI enrichment pipeline in a relational schema. You decide to use Power BI for analysis and reporting on these enriched documents. In order to achieve this objective, you create a projection in your knowledge store that aligns with your needs. 
Given the scenario above, what type of projection would you use in your knowledge store?

Answer options:

A.Files
B.Objects
C.Tables
D.None of the above

Correct Answer: C
Option A is incorrect because in this scenario tables projection would suffice the requirement. Files projection is used when you need to save the images extracted from the documents.
Option B is incorrect because in this scenario tables projection would suffice the requirement. Objects projection is suited for JSON representation of indexed documents.
Option C is correct because the requirement is to use the relational schema as output to the enriched documents. You can also use Power BI for exploring the data and run analytics functions. Here is an example of table projection, where tableName is the name of the table in Azure storage, the source is the node from the enrichment tree, and generatedKeyName is the column name for the key that is the unique identifier
<pre>"projections" : [
{
"tables": [
{ "tableName": "&lt;table1&gt;", "generatedKeyName": "Id1", "source": "/document/EnrichedTxt" }
 ]
},
</pre>
Reference: 
To learn more about projects in the knowledge store, use the link given below: 

https://docs.microsoft.com/en-us/azure/search/knowledge-store-projection-overview