A data engineer is working in a Databricks notebook and attempts to create a view named sales_af using data from African countries. The notebook utilizes language interoperability across cells:

Command 1 (Python):

countries_af = [x[0] for x in spark.table("geo_lookup").filter("continent='AF'").select("country").collect()]

countries_af = [x[0] for x in spark.table("geo_lookup").filter("continent='AF'").select("country").collect()]

Command 2 (SQL):

CREATE VIEW sales_af AS 
SELECT * FROM sales 
WHERE city IN countries_af AND CONTINENT = "AF"

CREATE VIEW sales_af AS 
SELECT * FROM sales 
WHERE city IN countries_af AND CONTINENT = "AF"

Assuming only the geo_lookup and sales tables exist before execution, what will occur when these commands are executed sequentially?*