Databricks Exam Databricks-Certified-Data-Analyst-Associate Topic 4 Question 20 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Analyst-Associate exam

Question #: 20
Topic #: 4

[All Databricks-Certified-Data-Analyst-Associate Questions]

A data analyst runs the following command:

SELECT age, country

FROM my_table

WHERE age >= 75 AND country = 'canada';

Which of the following tables represents the output of the above command?

AOption A

BOption B

COption C

DOption D

EOption E
The SQL query provided is designed to filter out records from ''my_table'' where the age is 75 or above and the country is Canada. Since I can't view the content of the links provided directly, I need to rely on the image attached to this question for context. Based on that, Option E (the image attached) represents a table with columns ''age'' and ''country'', showing records where age is 75 or above and country is Canada.Reference: The answer can be inferred from understanding SQL queries and their outputs as per Databricks documentation:Databricks SQL

Show Suggested Answer

Suggested Answer: A

Option A uses theSELECT DISTINCTstatement to remove duplicate rows from thetable_bronzeand create a new tabletable_silverwith the deduplicated data.This is the correct way to deduplicate data using Spark SQL12. Option B simply inserts all the rows fromtable_bronzeintotable_silver, without removing any duplicates. Option C is not a valid syntax for Spark SQL, as there is noMERGE DEDUPLICATEstatement. Option D appends all the rows fromtable_bronzeintotable_silver, without removing any duplicates. Option E overwrites the existing data intable_silverwith the data fromtable_bronze, without removing any duplicates.Reference:Delete Duplicate using SPARK SQL,Spark SQL - How to Remove Duplicate Rows

by Eun at Aug 05, 2024, 04:23 PM

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