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Databricks Exam Databricks-Certified-Data-Engineer-Associate Topic 2 Question 36 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 36
Topic #: 2
[All Databricks-Certified-Data-Engineer-Associate Questions]

A data engineer wants to schedule their Databricks SQL dashboard to refresh every hour, but they only want the associated SQL endpoint to be running when It is necessary. The dashboard has multiple queries on multiple datasets associated with it. The data that feeds the dashboard is automatically processed using a Databricks Job.

Which approach can the data engineer use to minimize the total running time of the SQL endpoint used in the refresh schedule of their dashboard?

Show Suggested Answer Hide Answer
Suggested Answer: B

To minimize the total running time of the SQL endpoint used in the refresh schedule of a dashboard in Databricks, the most effective approach is to utilize the Auto Stop feature. This feature allows the SQL endpoint to automatically stop after a period of inactivity, ensuring that it only runs when necessary, such as during the dashboard refresh or when actively queried. This minimizes resource usage and associated costs by ensuring the SQL endpoint is not running idle outside of these operations.

Reference: Databricks documentation on SQL endpoints: SQL Endpoints in Databricks


Contribute your Thoughts:

Florinda
19 days ago
Matching the dashboard's SQL endpoint to the queries' SQL endpoints? Sounds like a lot of work, if you ask me. I'd go for the Auto Stop option - keep it simple!
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Valentine
21 days ago
Haha, I bet the data engineer wishes they could just snap their fingers and make the SQL endpoint disappear when it's not needed! Auto Stop is the way to go, for sure.
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Jerry
7 days ago
B) They can turn on the Auto Stop feature for the SQL endpoint.
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Gladys
12 days ago
A) They can reduce the cluster size of the SQL endpoint.
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Barney
24 days ago
Serverless, all the way! That's the best approach to minimize the running time. No need to worry about cluster sizes or anything like that.
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James
27 days ago
Ooh, this is a tricky one! I think turning on the Auto Stop feature for the SQL endpoint is the way to go. That way, it only runs when it needs to, right?
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Honey
1 months ago
Serverless, huh? Sounds like something straight out of a sci-fi movie. Next thing you know, they'll be running the dashboard on a quantum computer or something.
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Hubert
8 days ago
User 3: I think setting up the dashboard's SQL endpoint to be serverless could be a good option in this case.
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Julene
9 days ago
User 2: Yeah, it's pretty cool. It can definitely help with optimizing running time.
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Alex
13 days ago
Serverless computing is actually a real thing now.
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Asuncion
2 months ago
Matching the SQL endpoints to the queries? Hmm, I don't know, that sounds like a lot of work. I'd rather just go with the Auto Stop option and let the system handle it.
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Luisa
2 months ago
That's a good point, Giovanna. Option C does sound like a good solution as well. It's all about optimizing the process.
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Glenn
2 months ago
Serverless is the way to go! No need to worry about cluster size or anything, it'll just scale up and down as needed.
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Giovanna
2 months ago
I disagree, I believe option C is more efficient. Setting up the SQL endpoint to be serverless will also help minimize running time.
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Joanna
2 months ago
The Auto Stop feature sounds like a great way to minimize the running time of the SQL endpoint. That way, it won't be wasting resources when it's not needed.
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Desmond
17 days ago
A) They can reduce the cluster size of the SQL endpoint.
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Jamie
21 days ago
B) That's a good point, the Auto Stop feature would definitely help optimize resource usage.
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Monte
23 days ago
C) They can set up the dashboard's SQL endpoint to be serverless.
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Florinda
1 months ago
B) They can turn on the Auto Stop feature for the SQL endpoint.
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Luisa
2 months ago
I think option B is the best choice. Turning on Auto Stop feature will only run the SQL endpoint when needed, reducing total running time.
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