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

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?
B) explode(produces)
A) array distinct(produces)
C) reduce(produces)
D) array(produces)
E) flatten(produces)

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

Actual exam question for Databricks's Databricks Certified Data Analyst Associate exam
Question #: 2
Topic #: 5
[All Databricks Certified Data Analyst Associate Questions]

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?

Show Suggested Answer Hide Answer
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.

If you are interested in learning more about Databricks Data Analyst Associate certification, you can check out the following resources:

Databricks Certified Data Analyst Associate: This is the official page for the certification exam, where you can find the exam guide, registration details, and preparation tips.

Data Analysis With Databricks SQL: This is a self-paced course that covers the topics and skills required for the certification exam. You can access it for free on Databricks Academy.

Tips for the Databricks Certified Data Analyst Associate Certification: This is a blog post that provides some useful advice and study tips for passing the certification exam.

Databricks Certified Data Analyst Associate Certification: This is another blog post that gives an overview of the certification exam and its benefits.


by Serina at Jan 22, 2024, 11:48 PM

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Vincent
9 months ago
Wait, can you really duplicate transaction_id like that? Sounds odd.
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Dolores
9 months ago
I agree, explode() is the way to go!
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Terina
9 months ago
Definitely not reduce(), that won't help here.
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Ellsworth
10 months ago
I think flatten() might work too, but not sure.
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Raymon
10 months ago
Gotta use explode() for that!
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Eleonora
10 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.
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Emile
10 months ago
I feel like `flatten` could be relevant, but it seems more about combining arrays rather than expanding them.
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Mireya
10 months ago
I'm not entirely sure, but I remember `reduce` being used for aggregating values, not expanding them.
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Carlee
11 months ago
I think we practiced something similar where we had to use `explode` to flatten an array. That might be the right choice here.
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Michael
11 months ago
This seems straightforward enough. I'll just go with option B and explode the products array. That should do the trick.
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Kallie
11 months 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.
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Glennis
11 months 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.
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Jina
11 months 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.
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Marshall
11 months 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.
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Gilma
11 months 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.
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Sabina
11 months 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.
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Lino
11 months 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.
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