Discuss Databricks Databricks Certified Data Analyst Associate Exam Topic 5 Question 2

A data engineer is working with a nested array column products in table transactions. They want to expand the table so each unique item in products for each row has its own row where the transaction_id column is duplicated as necessary.

They are using the following incomplete command:

Which of the following lines of code can they use to fill in the blank in the above code block so that it successfully completes the task?

Aarray distinct(produces)

Bexplode(produces)

Creduce(produces)

Darray(produces)

Eflatten(produces)

Suggested Answer: B

Theexplodefunction is used to transform a DataFrame column of arrays or maps into multiple rows, duplicating the other column's values. In this context, it will be used to expand the nested array column products in the transactions table so that each unique item in products for each row has its own row and the transaction_id column is duplicated as necessary.Reference:Databricks Documentation

I also noticed that you sent me an image along with your message. The image shows a snippet of SQL code that is incomplete. It begins with ''SELECT'' indicating a query to retrieve data. ''transaction_id,'' suggests that transaction_id is one of the columns being selected. There are blanks indicated by underscores where certain parts of the SQL command should be, including what appears to be an alias for a column and part of the FROM clause. The query ends with ''FROM transactions;'' indicating data is being selected from a 'transactions' table.

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17 comments · newest first

Vincent 10 months ago

Wait, can you really duplicate transaction_id like that? Sounds odd.

Dolores 11 months ago

I agree, explode() is the way to go!

Terina 11 months ago

Definitely not reduce(), that won't help here.

Ellsworth 11 months ago

I think flatten() might work too, but not sure.

Raymon 11 months ago

Gotta use explode() for that!

Eleonora 12 months ago

I vaguely recall that `array distinct` is used to get unique values, but I don't think that's what we need for this question.

Emile 12 months ago

I feel like `flatten` could be relevant, but it seems more about combining arrays rather than expanding them.

Mireya 12 months ago

I'm not entirely sure, but I remember `reduce` being used for aggregating values, not expanding them.

Carlee 1 year ago

I think we practiced something similar where we had to use `explode` to flatten an array. That might be the right choice here.

Michael 1 year ago

This seems straightforward enough. I'll just go with option B and explode the products array. That should do the trick.

Kallie 1 year ago

Okay, I think I've got a strategy. I'll try using the explode() function to expand the nested array, then duplicate the transaction_id as needed.

Glennis 1 year ago

I'm a bit confused by the syntax here. I'll need to review the documentation on the different array functions to figure out which one will work best.

Jina 1 year ago

Hmm, this looks like a tricky one. I'll need to think through the nested array and how to expand each unique item into its own row.

Marshall 1 year ago

I'm not entirely sure about this one. I might need to experiment with a few different approaches to see which one works best.

Gilma 1 year ago

This seems straightforward enough. The User Administrator role should give User1 the necessary permissions to update the Secure Score improvement actions, so I'll go with that.

Sabina 1 year ago

I feel pretty confident about this one. An ACD helps reduce the amount of time spent on each call, so I'll select option B.

Lino 1 year ago

Okay, let's see. The file should be owned by the root user and have read-write permissions for the owner, but read-only for everyone else. I think option B is the correct answer.

Databricks Certified Data Analyst Associate Exam - Topic 5 Question 2 Discussion