Databricks Data Engineer Associate exam dumps

Databricks Data Engineer Associate practice question 115 of 532

Databricks Certified Data Engineer Associate. Associate level, Databricks. Free question with the correct answer and a full explanation.

Databricks Data Engineer Associate Question 115

Select 2

You are working with a Delta table named 'sales' in Databricks that contains thousands of sales transactions. The table has a column named 'discount' that can contain NULL values. You need to calculate the total number of entries where no discount was applied and compare it to the total number of NULL values in the 'discount' column. Which of the following approaches will correctly achieve this?

  1. A

    Use the count_if(discount IS NULL) function to count rows with NULL values in the 'discount' column.

  2. B

    Use the count(*) - count(discount) formula to calculate the number of NULL values in the 'discount' column.

  3. C

    Use the count_if(discount IS NOT NULL) function to count rows where a discount was applied.

  4. D

    Use the count_if(discount IS NULL) function to count rows where no discount was applied.

  5. E

    Use the count(*) - count(discount IS NULL) formula to calculate the number of rows with NULL values in the 'discount' column.

Show answer and explanation

Correct answers: A, B

Explanation

To count the number of rows where no discount was applied (NULL values in the 'discount' column), you can use either count_if(discount IS NULL) or the formula count(*) - count(discount). Both approaches work because the first directly counts rows satisfying the condition, while the second computes the difference between the total rows and the rows with non-NULL values. Understanding these approaches ensures accurate analysis of data containing NULLs.

  • A. Correct.

    Correct. The count_if(discount IS NULL) function is specifically designed to count rows where the condition (in this case, NULL values) is satisfied.

  • B. Correct.

    Correct. The formula count(*) - count(discount) works because count(discount) excludes NULL values, so subtracting it from the total count gives the count of NULL values.

  • C. Incorrect.

    Incorrect. The count_if(discount IS NOT NULL) function counts rows where a value exists, not where no discount was applied.

  • D. Incorrect.

    Incorrect. While this syntax seems logical, it is not valid because count_if(discount IS NULL) counts the rows with NULL values, not rows where no discount was applied.

  • E. Incorrect.

    Incorrect. This syntax is invalid because count(discount IS NULL) is not a valid SQL aggregation function.

Timed practice exam

Take a Databricks Data Engineer Associate practice test under exam conditions

45 questions in 90 minutes, drawn from this bank, with a score report and a per-question review when you finish.

Start timed exam