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Databricks Exam Databricks-Certified-Data-Engineer-Associate Topic 1 Question 42 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 42
Topic #: 1
[All Databricks-Certified-Data-Engineer-Associate Questions]

An engineering manager uses a Databricks SQL query to monitor ingestion latency for each data source. The manager checks the results of the query every day, but they are manually rerunning the query each day and waiting for the results.

Which of the following approaches can the manager use to ensure the results of the query are updated each day?

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Suggested Answer: A

The SQL keyword that can be used to convert a table from a long format to a wide format isPIVOT.The PIVOT clause is used to rotate the rows of a table into columns of a new table1.The PIVOT clause can aggregate the values of a column based on the distinct values of another column, and use those values as the column names of the new table1.The PIVOT clause can be useful for transforming data from a long format, where each row represents an observation with multiple attributes, to a wide format, where each row represents an observation with a single attribute and multiple values2.For example, the PIVOT clause can be used to convert a table that contains the sales of different products by different regions into a table that contains the sales of each product by each region as separate columns1.

The other options are not suitable for converting a table from a long format to a wide format.CONVERT is a function that can be used to change the data type of an expression3.WHERE is a clause that can be used to filter the rows of a table based on a condition4.TRANSFORM is a keyword that can be used to apply a user-defined function to a group of rows in a table5. SUM is a function that can be used to calculate the total of a numeric column.


1:PIVOT | Databricks on AWS

2:Reshaping Data - Long vs Wide Format | Databricks on AWS

3:CONVERT | Databricks on AWS

4:WHERE | Databricks on AWS

5:TRANSFORM | Databricks on AWS

: [SUM | Databricks on AWS]

by Beula at Dec 07, 2024, 09:37 PM

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Jesse
8 days ago
But wouldn't it be easier to manage the scheduling directly from the SQL endpoint's page? Option A seems more straightforward to me.
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Stefany
14 days ago
I disagree, I believe option D is more efficient. Scheduling the query to run every 1 day from the Jobs UI seems like a better approach.
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Jesse
17 days ago
I think option A is the best choice. It makes sense to schedule the query to refresh every 1 day from the SQL endpoint's page.
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