Q9
Single choice
You are analyzing customer purchases in a Fabric notebook by using PySpark.
You have the following DataFrames: transactions: Contains five columns named transaction_id, customer_id, product_id, amount, and date and has 10 million rows, with each row representing a transaction. customers: Contains customer details in 1,000 rows and three columns named customer_id, name, and country.
You need to join the DataFrames on the customer_id column. The solution must minimize data shuffling.
You write the following code.
from pyspark.sql import functions as F results = Which code should you run to populate the results DataFrame?