Free Certified Data Analyst Associate Exam Braindumps
Databricks Certified Data Analyst Associate Questions 25–32 (page: 5)

Updated On: 12-May-2026

A data analyst has been asked to use the below table sales_table to get the percentage rank of products within region by the sales:



The result of the query should look like this:



Which query will accomplish this task?





Answer(s): B



In which situation should a data analyst use higher-order functions?

  1. When custom logic needs to be applied to simple, unnested data
  2. When custom logic needs to be converted to Python-native code
  3. When custom logic needs to be applied at scale to array data objects
  4. When built-in functions are taking too long to perform tasks

Answer(s): C



Consider the following two statements:

Statement 1:



Statement 2:



How will the result sets differ for each statement when they are run in Databricks SQL?

  1. The first statement will return all data from the customers table and matching data from the orders table.
    The second statement will return all data from the orders table and matching data from the customers table. Any missing data will be filled in with NULL.
  2. When the first statement is run, only rows from the customers table that have at least one match with the orders table on customer_id will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.
  3. When the first statement is run, all rows from the customers table will be returned and only the customer_id from the orders table will be returned. When the second statement is run, only those rows in the customers table that do not have at least one match with the orders table on customer_id will be returned.
  4. Both statements will fail because Databricks SQL does not support those join types.

Answer(s): B



A data analyst has created a user-defined function using the following line of code:

CREATE FUNCTION price(spend DOUBLE, units DOUBLE)
RETURNS DOUBLE
RETURN spend / units;

Which code blocks can be used to apply this function to the customer_spend and customer_units columns of the table customer_summary to create column customer_price?

  1. SELECT PRICE customer_spend, customer_units AS customer_price FROM customer_summary
  2. SELECT price(customer_spend, customer_units) AS customer_price FROM customer_summary
  3. SELECT function(price(customer_spend, customer_units)) AS customer_price FROM customer_summary
  4. SELECT double(price(customer_spend, customer_units)) AS customer_price
    FROM customer_summary

Answer(s): B



A data analyst has been asked to count the number of customers in each region and has written the following query:



If there is a mistake in the query, what characterizes the mistake?

  1. The query is using count(*), which will count all the customers in the customers table, no matter the region.
  2. The query is missing a GROUP BY region clause.
  3. The query is using ORDER BY, which is not allowed in an aggregation.
  4. The query is selecting region, but region should only occur in the ORDER BY clause.

Answer(s): B



A data analyst is processing a complex aggregation on a table with zero null values and their query returns the following result:



Which query does the analyst need to run in order to obtain the above result?





Answer(s): D



Which of the following is a benefit of Databricks SQL using ANSI SQL as its standard SQL dialect?

  1. It is more compatible with Spark's interpreters.
  2. It is easy to migrate existing SQL queries to Databricks SQL.
  3. It allows for the use of Photon's computation optimizations.
  4. It is more performant than other SQL dialects.

Answer(s): B



How can a data analyst determine if query results were pulled from the cache?

  1. Go to the Query History tab and click on the text of the query. The slideout shows if the results came from the cache.
  2. Go to the Data tab and click Last Query. The details of the query will show if the results came from the cache.
  3. Go to the Queries tab and click on Cache Status. The status will be green if the results from the last run came from the cache.
  4. Go to the SQL Warehouse (formerly SQL Endpoints) tab and click on Cache. The Cache file will show the contents of the cache.

Answer(s): A



Viewing page 5 of 19
Viewing questions 33 - 40 out of 140 questions


Post your Comments and Discuss Databricks Certified Data Analyst Associate exam prep with other Community members:

AI Tutor AI Tutor 👋 I’m here to help!