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Databricks Certified Data Analyst Associate Exam - Topic 4 Question 17 Discussion

Actual exam question for Databricks's Databricks Certified Data Analyst Associate exam
Question #: 17
Topic #: 4
[All Databricks Certified Data Analyst Associate Questions]

A data engineering team has created a Structured Streaming pipeline that processes data in micro-batches and populates gold-level tables. The microbatches are triggered every 10 minutes.

A data analyst has created a dashboard based on this gold level dat

a. The project stakeholders want to see the results in the dashboard updated within 10 minutes or less of new data becoming available within the gold-level tables.

What is the ability to ensure the streamed data is included in the dashboard at the standard requested by the project stakeholders?

Show Suggested Answer Hide Answer
Suggested Answer: B

The result set provided shows a combination of grouping by two columns (group_1 and group_2) with subtotals for each level of grouping and a grand total. This pattern is typical of a GROUP BY ... WITH ROLLUP operation in SQL, which provides subtotal rows and a grand total row in the result set.

Considering the query options:

A) Option A: GROUP BY group_1, group_2 INCLUDING NULL - This is not a standard SQL clause and would not result in subtotals and a grand total.

B) Option B: GROUP BY group_1, group_2 WITH ROLLUP - This would create subtotals for each unique group_1, each combination of group_1 and group_2, and a grand total, which matches the result set provided.

C) Option C: GROUP BY group_1, group 2 - This is a simple GROUP BY and would not include subtotals or a grand total.

D) Option D: GROUP BY group_1, group_2, (group_1, group_2) - This syntax is not standard and would likely result in an error or be interpreted as a simple GROUP BY, not providing the subtotals and grand total.

E) Option E: GROUP BY group_1, group_2 WITH CUBE - The WITH CUBE operation produces subtotals for all combinations of the selected columns and a grand total, which is more than what is shown in the result set.

The correct answer is Option B, which uses WITH ROLLUP to generate the subtotals for each level of grouping as well as a grand total. This matches the result set where we have subtotals for each group_1, each combination of group_1 and group_2, and the grand total where both group_1 and group_2 are NULL.


Contribute your Thoughts:

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Sonia
7 days ago
Totally agree, option A is the way to go!
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Rickie
13 days ago
The micro-batches are every 10 minutes, so the dashboard needs to refresh that often.
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Yolande
19 days ago
I’m not sure about option C. Including stakeholders as subscribers sounds good, but I don’t think it actually addresses the refresh timing issue we need to solve here.
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Gail
24 days ago
I think we practiced a similar question where the refresh rate was crucial. If the data updates every 10 minutes, then option A seems like the right choice to keep the dashboard current.
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Nobuko
29 days ago
I'm a bit unsure about this one. I feel like option B could also be relevant since having an always-on SQL Warehouse might help with performance, but I'm not certain.
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Luann
1 month ago
I remember we discussed the importance of refresh intervals in our last study session. I think option A makes the most sense since it directly aligns with the micro-batch updates.
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Eleonora
1 month ago
Okay, I see. The question is really about aligning the dashboard refresh with the data update cadence. Option A looks like the right approach to meet the 10-minute requirement. I'll make sure to double-check my work on this one.
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Estrella
1 month ago
I think the key is to ensure the dashboard is refreshing at least as often as the data is being updated. Option A seems like the most direct way to achieve that. The other options don't seem to address the specific requirement.
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Luis
1 month ago
Hmm, I'm a bit confused. Does the "always-on SQL Warehouse" in option B mean it can update the dashboard more frequently than the 10-minute interval? I'll need to think this through a bit more.
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Theola
1 month ago
This seems straightforward - the key is to match the dashboard refresh schedule to the 10-minute data update interval. Option A looks like the best choice here.
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Lasandra
1 month ago
I think this is a tricky one, but I'm pretty sure the answer is Reentrancy. That's the vulnerability that allows attackers to repeatedly call a contract's functions before the contract can update its state.
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Francis
2 months ago
Okay, let me think this through. The key things I need to look for are that the requirements are consistent, clear, complete, and validated. I think option A best captures all of those criteria.
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Elden
2 months ago
I'm a bit confused by the wording of this question. The options don't seem to match up perfectly with my understanding of PCA. I'll have to review my notes to make sure I'm interpreting this correctly.
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Albina
6 months ago
The stakeholders want the dashboard updated in 10 minutes or less? Wow, they must be speed-reading experts or have lightning-fast reflexes. Better hope the data engineers don't get stuck in traffic on their way to the office!
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Lauryn
6 months ago
A is the obvious choice. Anything else would be like trying to hit a moving target while blindfolded - a recipe for disaster and unhappy stakeholders.
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Justine
5 months ago
Agreed, stakeholders need real-time data to make informed decisions
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Vanesa
5 months ago
Exactly, option A ensures that the dashboard is updated in a timely manner
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Ben
5 months ago
A refresh schedule with an interval of 10 minutes or less
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Josphine
7 months ago
Hmm, I'd go with A too. Doesn't really matter if you have a SQL Warehouse or cluster if the refresh rate isn't aligned. 10 minutes or less is the way to go, unless the stakeholders want to watch a loading spinner for an eternity.
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Jeffrey
5 months ago
In this scenario, the data engineering team has configured a Structured Streaming pipeline that updates the gold-level tables every 10 minutes. To ensure that the dashboard reflects the most recent data, it is essential to set the dashboard's refresh schedule to an interval of 10 minutes or less. This synchronization ensures that stakeholders view the latest information shortly after it becomes available in the gold-level tables. Options B, C, and D do not directly address the requirement of aligning the dashboard refresh frequency with the data update interval.
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Vanna
5 months ago
Hmm, I'd go with A too. Doesn't really matter if you have a SQL Warehouse or cluster if the refresh rate isn't aligned. 10 minutes or less is the way to go, unless the stakeholders want to watch a loading spinner for an eternity.
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Deeann
5 months ago
A) A refresh schedule with an interval of 10 minutes or less
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Paris
7 months ago
I agree with A. Keeping the dashboard refresh in sync with the data updates is crucial to meet the stakeholders' expectations. No need to overcomplicate things here.
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Paris
7 months ago
The correct answer is A. A refresh schedule with an interval of 10 minutes or less is the only option that aligns with the requirement to update the dashboard within 10 minutes of new data becoming available. The other options don't directly address the synchronization needed.
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Tamie
5 months ago
So, setting the refresh schedule to 10 minutes or less is crucial for real-time updates.
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Gladys
5 months ago
Exactly, the stakeholders want to see the most recent data in the dashboard.
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Fanny
6 months ago
That makes sense, we need to update the dashboard quickly after new data is available.
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Bettye
6 months ago
I think the answer is A) A refresh schedule with an interval of 10 minutes or less.
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Gwen
7 months ago
I'm not sure about the other options, but A seems like the most logical choice to meet the stakeholders' requirement.
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Destiny
7 months ago
I agree with Leana. It makes sense to have the dashboard updated within 10 minutes of new data.
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Leana
7 months ago
I think the answer is A) A refresh schedule with an interval of 10 minutes or less.
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