A data analyst wants the following output:Which statement will produce this output?
Answer(s): D
This query correctly calculates the total number of orders per customer, as seen in the expected output.The COUNT(order_id) function counts the number of orders for each customer.AS number_of_orders renames the result column to match the expected output.GROUP BY customer_name ensures the count is grouped by customer.
What is an advantage of using a Delta Lake-based data lakehouse over classic enterprise data warehouse solutions?
Answer(s): A
Delta Lake-based data lakehouse supports open-source formats such as Apache Parquet, allowing flexibility and interoperability with various data processing tools. Unlike traditional enterprise data warehouses, which often use proprietary formats, Delta Lake enables cost-effective, scalable, and vendor-agnostic data management.
Query History provides Databricks SQL users with a lot of benefits. A data analyst has been asked to share all of these benefits with their team as part of a training exercise. One of the benefit statements the analyst provided to their team is incorrect.Which statement about Query History is incorrect?
Query History in Databricks SQL helps users review past queries, troubleshoot performance issues, and analyze query execution plans. However, it does not provide functionality for automating query execution across multiple warehouses. Automation of queries would typically require scheduled jobs or workflows, not Query History.
A data scientist has asked a data analyst to create histograms for every continuous variable in a data set. The data analyst needs to identify which columns are continuous in the data set.What describes a continuous variable?
Answer(s): C
A continuous variable is a quantitative variable that can take on an infinite number of values within a given range. Examples include height, weight, temperature, and time, which can have decimal values and are notcountable in discrete steps.
A data analyst has been asked to use the below table sales_table to rank products within region by the sales:The result of the query should look like this:Which query will accomplish this task?
PARTITION BY region ensures ranking is done within each region.ORDER BY sales DESC ranks products from highest to lowest sales within each region.RANK() assigns a unique rank per region-product combination, as required in the expected output.
A database was created in Databricks SQL using the following statement:CREATE SCHEMA accounting LOCATION 'dbfs:/accounting/data';Where will data for this database be stored?
Answer(s): B
When a CREATE SCHEMA (or CREATE DATABASE) statement in Databricks SQL includes a LOCATION clause, the database's data is stored in the specified path in DBFS (Databricks File System). In this case, the data for the accounting schema will be stored directly under dbfs:/accounting/data, as specified in the LOCATION parameter.
A data analyst is processing a complex aggregation on a table with zero null values and the query returns the following result:Which query did the analyst execute in order to get this result?
The CUBE grouping set generates all possible subtotal combinations, including:The sum for each (group_1, group_2) combinationThe sum for each group_1 (aggregating all group_2 values)The total sum across all groups
A managed table and an unmanaged (external) table were both created in Databricks SQL, and data were ingested into each table. Later, both tables were dropped.What is the status of data for each of those tables?
In Databricks SQL:Managed Tables: Databricks manages both metadata and data. Dropping a managed table deletes both the metadata and the underlying data.Unmanaged (External) Tables: Only the metadata is managed by Databricks, while the data remains stored at the original external location. Dropping an unmanaged table removes only the metadata, but the actual data remains intact.
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