A data engineer has a Python variable table_name that they would like to use in a SQL query. They want to construct a Python code block that will run the query using table_name.They have the following incomplete code block:____(f"SELECT customer_id, spend FROM {table_name}")What can be used to fill in the blank to successfully complete the task?
Answer(s): B
A data engineer is working with two tables. Each of these tables is displayed below in its entirety.The data engineer runs the following query to join these tables together:
Answer(s): C
A data engineer needs to apply custom logic to identify employees with more than 5 years of experience in array column employees in table stores. The custom logic should create a new column exp_employees that is an array of all of the employees with more than 5 years of experience for each row. In order to apply this custom logic at scale, the data engineer wants to use the FILTER higher-order function.Which code block successfully completes this task?
Answer(s): A
A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?Which code block can the data engineer use to complete this task?
Answer(s): D
What describes the relationship between Gold tables and Silver tables?
A data engineer has developed a data pipeline to ingest data from a JSON source using Auto Loader, but the engineer has not provided any type inference or schema hints in their pipeline. Upon reviewing the data, the data engineer has noticed that all of the columns in the target table are of the string type despite some of the fields only including float or boolean values.Why has Auto Loader inferred all of the columns to be of the string type?
Which statement regarding the relationship between Silver tables and Bronze tables is always true?
Identify how the count_if function and the count where x is null can be used.Consider a table random_values with below data.What would be the output of below query?select count_if(col1 > 1) as count_a, count(*) as count_b,count(col1) as count_c from random_valuescol1NULL
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