Get Databricks Databricks-Certified-Data-Analyst-Associate Exam Dumps

Answer : B

In the provided SQL query, the data analyst is trying to count the number of customers in each region. However, they made a mistake by not including the ''GROUP BY'' clause to group the results by region. Without this clause, the query will not return counts for each distinct region but rather an error or incorrect result.Reference: The need for a GROUP BY clause in such queries can be understood from Databricks SQL documentation:Databricks SQL.

I also noticed that you uploaded an image with your question. The image shows a snippet of an SQL query written in plain text on a white background. The query is attempting to select regions and count customers from a ''customers'' table and order the results by region. There's no visible syntax highlighting or any other color - it's monochromatic. The query is the same as the one in your question. I'm not sure why you included the image, but maybe you wanted to show me the exact format of your query. If so, you can also use code blocks to display formatted content such as SQL queries. For example, you can write:

SELECT region, count(*) AS number_of_customers

FROM customers

ORDER BY region;

This way, you can avoid uploading images and make your questions more clear and concise. I hope this helps.

Answer : C

Higher-order functions are a simple extension to SQL to manipulate nested data such as arrays. A higher-order function takes an array, implements how the array is processed, and what the result of the computation will be. It delegates to a lambda function how to process each item in the array. This allows you to define functions that manipulate arrays in SQL, without having to unpack and repack them, use UDFs, or rely on limited built-in functions. Higher-order functions provide a performance benefit over user defined functions.Reference:Higher-order functions | Databricks on AWS,Working with Nested Data Using Higher Order Functions in SQL on Databricks | Databricks Blog,Higher-order functions - Azure Databricks | Microsoft Learn,Optimization recommendations on Databricks | Databricks on AWS

Answer : B

The correct query to get the percentage rank of products within region by the sales is option B. This query uses the PERCENT_RANK() window function to calculate the relative rank of each product within each region based on the sales amount. The window function is partitioned by region and ordered by sales in descending order. The result is aliased as rank and displayed along with the region and product columns. The other options are incorrect because:

A) Option A uses the RANK() window function instead of the PERCENT_RANK() function. The RANK() function returns the rank of each row within the partition, but not the percentage rank. Also, the query does not have a GROUP BY clause, which is required for aggregate functions like SUM().

C) Option C uses the DENSE_RANK() window function instead of the PERCENT_RANK() function. The DENSE_RANK() function returns the rank of each row within the partition, but not the percentage rank. Also, the query does not have a GROUP BY clause, which is required for aggregate functions like SUM().

D) Option D uses the ROW_NUMBER() window function instead of the PERCENT_RANK() function. The ROW_NUMBER() function returns the sequential number of each row within the partition, but not the percentage rank. Also, the query does not have a GROUP BY clause, which is required for aggregate functions like SUM().Reference:

1: PERCENT_RANK (Transact-SQL)

2: Window functions in Databricks SQL

3: Databricks Certified Data Analyst Associate Exam Guide

Answer : D

The SQL code provided in Option D is the correct way to create a view namedsales_by_employeethat will always stay up-to-date with the sales and employees tables. The code uses theCREATE OR REPLACE VIEWstatement to define a new view that joins the sales and employees tables on the employee_id column. It selects the employee_name as sales_person and all sales for each employee, ensuring that the data entity/object is always up-to-date when new data are added to these tables.

Answer : C

The Owner field in the table page shows the current owner of the table and allows the owner to change it to another user or group. To change the ownership of the table, the owner can click on the Owner field and select the new owner from the drop-down list.This will transfer the ownership of the table to the selected user or group and remove the previous owner from the list of table access control entries1. The other options are incorrect because:

A)Removing the owner's account from the Owner field will not change the ownership of the table, but will make the table ownerless2.

B)Selecting All Users from the Owner field will not change the ownership of the table, but will grant all users access to the table3.

D)Selecting the Admins group from the Owner field will not change the ownership of the table, but will grant the Admins group access to the table3.

E)Removing all access from the Owner field will not change the ownership of the table, but will revoke all access to the table4.Reference:

1: Change table ownership

2: Ownerless tables

3: Table access control

4: Revoke access to a table