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Databricks Exam Databricks Certified Data Engineer Associate Topic 3 Question 50 Discussion

Actual exam question for Databricks's Databricks Certified Data Engineer Associate exam
Question #: 50
Topic #: 3
[All Databricks Certified Data Engineer Associate Questions]

A data analyst has a series of queries in a SQL program. The data analyst wants this program to run every day. They only want the final query in the program to run on Sundays. They ask for help from the data engineering team to complete this task.

Which of the following approaches could be used by the data engineering team to complete this task?

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Suggested Answer: B

This approach would allow the data engineering team to use the existing SQL program and add some logic to control the execution of the final query based on the day of the week. They could use thedatetimemodule in Python to get the current date and check if it is a Sunday. If so, they could run the final query, otherwise they could skip it. This way, they could schedule the program to run every day without changing the data model or the source table.Reference:PySpark SQL Module,Python datetime Module,Databricks Jobs


by Rebbeca at Jun 16, 2025, 11:07 PM

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Lorrine
2 days ago
I think option C is too limiting since they want the program to run daily, but I can't recall if there's a way to schedule specific queries differently.
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Galen
8 days ago
I remember something about using control flow in Python, so option B sounds familiar, but I'm not entirely sure how it would work with SQL.
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Oretha
13 days ago
I'm leaning towards option B as well. Using Python's control flow to determine when to run the final query seems like a flexible and efficient way to handle this requirement.
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Yuonne
19 days ago
I think option E, redesigning the data model to separate the data used in the final query into a new table, could be a good long-term solution. It would make the program more modular and easier to maintain.
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Barrett
24 days ago
Hmm, I'm not sure I fully understand the requirements here. Is there a way to automatically restrict access to the source table in the final query so that it's only accessible on Sundays, as mentioned in option D? That could be an interesting approach to explore.
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Gilma
29 days ago
I'm a bit confused by this question. It's not clear to me why we can't just run the entire program on Sundays, as suggested in option C. That seems like the simplest solution.
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Linwood
1 month ago
This seems like a straightforward problem. I think the best approach would be to use Python's control flow system to determine when to run the final query, as described in option B.
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Lizbeth
4 months ago
Choosing option A would be like asking the janitor to fix the plumbing. Databricks is for data processing, not scheduling tasks.
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Adell
4 months ago
Wow, option D is really creative. Restricting access to the source table is a clever way to achieve the desired result. I wonder if it would work in a real-world scenario, though.
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Maynard
3 months ago
User 2: Yeah, it's definitely a unique approach. I'm curious to see if it would actually work seamlessly.
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Fredric
3 months ago
User 1: Option D does sound interesting. I wonder how effective it would be in practice.
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Reuben
4 months ago
Option C is just lazy. If the client wants the final query to run only on Sundays, we should find a way to make that happen without running the entire program on Sundays.
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Pearline
4 months ago
A: Exactly, we need to find a solution that meets the client's requirements without being lazy.
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Freeman
4 months ago
B: I agree. That way we can ensure the final query runs only on Sundays without running the entire program.
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Nathalie
4 months ago
A: I think option B is the best approach. We can use Python's control flow system to determine when to run the final query.
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Erinn
4 months ago
I would go with option E. Redesigning the data model to separate the data used in the final query seems like a more robust and maintainable approach.
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Alberto
4 months ago
I agree, redesigning the data model could definitely help in the long run.
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Larae
4 months ago
Option E sounds like a good idea. It would make the process more efficient.
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Wenona
4 months ago
I prefer option E, redesigning the data model seems like a more permanent solution.
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Josefa
5 months ago
I agree with Cherilyn, using PySpark and Python's control flow system gives more flexibility.
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Cherilyn
5 months ago
I think option B is the best approach.
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Hermila
5 months ago
Option B makes the most sense to me. Using Python's control flow to determine when to run the final query is a flexible and efficient solution.
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Lenna
4 months ago
Let's go ahead and implement this solution then. It seems like the best option for our needs.
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Barney
4 months ago
I think it would make the process more efficient and easier to manage in the long run.
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Loise
4 months ago
It's definitely a more dynamic approach compared to just running the entire program on Sundays.
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Lenna
4 months ago
I agree, using PySpark and Python's control flow system gives us more control over when to run the final query.
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