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Databricks Certified Data Analyst Associate Exam - Topic 3 Question 55 Discussion

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?
E) Use a Serverless SQL endpoint A Serverless SQL endpoint is a type of SQL endpoint that does not require a dedicated cluster to run queries. Instead, it uses a shared pool of resources that can scale up and down automatically based on the demand. This means that a Serverless SQL endpoint can start up much faster than a SQL endpoint that uses a cluster, and it can also save costs by only paying for the resources that are used. A Serverless SQL endpoint is suitable for ad-hoc queries and exploratory analysis, but it may not offer the same level of performance and isolation as a SQL endpoint that uses a cluster. Therefore, a data analyst should consider the trade-offs between speed, cost, and quality when choosing between a Serverless SQL endpoint and a SQL endpoint that uses a cluster.Reference:Databricks SQL endpoints,Serverless SQL endpoints,SQL endpoint clusters
A) Reduce the SQL endpoint cluster size
B) Increase the SQL endpoint cluster size
C) Turn off the Auto stop feature
D) Increase the minimum scaling value

Databricks Certified Data Analyst Associate Exam - Topic 3 Question 55 Discussion

Actual exam question for Databricks's Databricks Certified Data Analyst Associate exam
Question #: 55
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 Elvera at Jun 26, 2026, 08:52 AM

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Gracie
1 day ago
I’d stick with Serverless for flexibility.
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Vi
6 days ago
Right, it might save costs but won’t speed things up.
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Thersa
11 days ago
Reducing cluster size could help too, but not as much.
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Gracie
17 days ago
True, but for ad-hoc queries, it’s perfect.
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Vi
22 days ago
Performance might drop for heavy queries.
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Thersa
27 days ago
Exactly! But what about performance?
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Gracie
1 month ago
Plus, no need for a dedicated cluster.
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Thersa
1 month ago
Agreed! It’s faster and cost-effective.
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Gracie
1 month ago
I think using a Serverless SQL endpoint is the best option.
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Brinda
2 months ago
Definitely consider the trade-offs with Serverless options.
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Darci
2 months ago
Surprised that turning off Auto stop is even an option!
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Andra
2 months ago
Reducing the cluster size might help, but is it enough?
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Tomoko
2 months ago
I think increasing the cluster size is a bad idea, costs will skyrocket.
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Mollie
2 months ago
A Serverless SQL endpoint can really speed things up!
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Genevive
2 months ago
I feel like turning off the Auto stop feature could actually slow things down, but I'm not completely certain.
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Jean
3 months ago
I practiced a similar question where increasing the minimum scaling value helped, but I can't recall if it applies here.
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Gertude
3 months ago
I think reducing the cluster size could help, but it might impact performance too.
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Lina
3 months ago
I remember something about serverless options being faster, but I'm not sure if they fit all use cases.
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