You have an Azure SQL table that contains the following data.

The correct choice is Option A because it provides the relevant semantic context the LLM needs while avoiding an unnecessary field that would add tokens without improving answer quality.

For LLM grounding and RAG-style context, Microsoft guidance emphasizes mapping and sending the fields that contain text pertinent to the use case . In this FAQ scenario, the useful context is the ProductName , the Question , and the Answer . Those three fields help the model understand both the subject domain and the actual Q & A pair. By contrast, FaqId is just a technical identifier and generally adds no semantic value for response generation, so including it wastes tokens.

That is why Option A is better than the others:

Option A keeps the meaningful text fields and removes the low-value identifier.

Option B is too minimal because it includes only the answer text as Prompt, which strips away the product and question context the LLM may need for accurate grounding.

Option C keeps FaqId but omits ProductName, which can be important disambiguating context.

Option D includes everything, but that does not minimize token usage because it keeps the unnecessary FaqId.