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Databricks Certified Data Analyst Associate Exam - Topic 3 Question 45 Discussion

Actual exam question for Databricks's Databricks Certified Data Analyst Associate exam
Question #: 45
Topic #: 3
[All Databricks Certified Data Analyst Associate Questions]

A data analyst has set up a SQL query to run every four hours on a SQL endpoint, but the SQL endpoint is taking too long to start up with each run.

Which of the following changes can the data analyst make to reduce the start-up time for the endpoint while managing costs?

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Suggested Answer: E

by Tennie at Nov 25, 2025, 04:59 AM

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Christiane
9 hours ago
Wait, can Serverless really handle heavy queries?
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Kenny
6 days ago
Reducing the cluster size could help too.
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Linsey
11 days ago
I disagree, you might lose performance with Serverless.
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Kip
16 days ago
A Serverless SQL endpoint sounds like a good option!
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Rosamond
21 days ago
Haha, a Serverless SQL endpoint, eh? Sounds like the data analyst is trying to avoid the "SQL endpoint startup blues." Good call!
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Ira
26 days ago
Hmm, E) Serverless SQL endpoint, eh? Gotta love that automatic scaling. Beats dealing with a slow-starting cluster any day.
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Rodolfo
1 month ago
A Serverless SQL endpoint seems like the perfect solution to reduce the startup time. I'm curious to see how the performance compares to a dedicated cluster.
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Belen
1 month ago
Using a Serverless SQL endpoint sounds like a good idea since it can scale automatically, but I wonder if it would handle heavy queries as well as a dedicated cluster.
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Shenika
1 month ago
I practiced a similar question where increasing the minimum scaling value was suggested, but I’m not clear if that would actually help in this case.
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Rutha
2 months ago
I think reducing the cluster size might help, but it could also impact performance. I need to double-check how that affects start-up times.
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Selma
2 months ago
I remember we discussed how serverless options can really speed things up, but I'm not sure if it's the best choice for every situation.
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Denna
2 months ago
I'm leaning towards the Serverless SQL endpoint too. The speed and cost benefits seem to outweigh the potential drawbacks, especially since this is just for a regular reporting query. As long as the data quality and reliability aren't compromised, I think it's worth trying out.
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Dominga
2 months ago
I'm a little confused by all these options. What are the pros and cons of each one? I want to make sure I understand the tradeoffs before I decide which one to recommend. Can someone break it down for me in simple terms?
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Carlee
2 months ago
E) Serverless SQL endpoint sounds like the way to go. Faster startup and cost savings? Sign me up!
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Jestine
3 months ago
I think using a Serverless SQL endpoint is the best option.
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Aretha
3 months ago
The Serverless SQL endpoint seems like the way to go here. Sure, there might be some performance differences, but if the main issue is the startup time, that's the best solution. And the cost savings are a nice bonus. I'd say go for it and see how it works - we can always adjust later if needed.
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Noel
3 months ago
Hmm, I'm not sure about the Serverless SQL endpoint. I know it's supposed to be faster, but I'm worried about the trade-offs in terms of performance and isolation. Maybe we should look into increasing the cluster size instead? That might give us the speed boost we need without sacrificing too much.
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Melissa
3 months ago
I think the Serverless SQL endpoint option sounds like the best choice here. It seems like it would start up much faster than the current SQL endpoint, which is the main issue we're trying to address. And the cost savings could be a nice bonus.
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Mayra
2 months ago
I agree, Serverless SQL endpoint seems ideal for speed.
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