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Databricks Certified Data Engineer Associate Exam - Topic 2 Question 59 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Associate exam
Question #: 59
Topic #: 2
[All Databricks Certified Data Engineer Associate Questions]

Which option best SQL keywords can be used to convert a table from a long format to a wide format?

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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 Sabra at Jan 27, 2026, 02:35 AM

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Marshall
1 day ago
Haha, I bet the answer is "All of the above" - they just love tricking us with those!
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Shonda
6 days ago
Isn't it Reshape and Widen? I'm pretty sure that's the way to go.
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Yolando
11 days ago
Hmm, I think Transpose and Melt might do the trick.
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Brett
17 days ago
Pivot and Unpivot, of course!
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Elouise
22 days ago
I definitely remember using aggregate functions in these types of questions, but I'm confused about how they fit with the wide format conversion.
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Aleisha
27 days ago
I feel like CASE statements could also play a role in converting formats, but I can't recall the exact syntax.
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Shawnee
2 months ago
I remember practicing a similar question where we had to transform data, and I think GROUP BY was involved too.
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Alesia
2 months ago
I think we might need to use the PIVOT function for this, but I'm not entirely sure how it works in SQL.
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Johnna
2 months ago
I feel pretty confident about this. I think using a combination of GROUP BY and CASE statements could be an effective way to convert the table format.
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Denna
2 months ago
This seems like a tricky one. I'm going to review my notes on data transformation techniques and see if I can come up with a solid strategy.
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Jesusita
2 months ago
Okay, I've got a few ideas on how to tackle this. I'll start by considering the PIVOT and UNPIVOT keywords, and see if those might work for this type of conversion.
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Yan
3 months ago
Hmm, converting from long to wide format? I'm a little unsure about the best SQL keywords to use for that. I'll need to think it through carefully.
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Precious
3 months ago
I think I know how to approach this, but I want to double-check my understanding before I start writing anything.
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