Deal of The Day! Hurry Up, Grab the Special Discount - Save 25% - Ends In 00:00:00 Coupon code: SAVE25
Welcome to Pass4Success

- Free Preparation Discussions

Databricks Exam Databricks-Certified-Data-Engineer-Associate Topic 1 Question 7 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 7
Topic #: 1
[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 of the following approaches 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: C

Contribute your Thoughts:

Macy
5 days ago
Hmm, I'm not sure if reducing the cluster size (Option C) is the best idea. That might impact performance. I think the serverless approach (Option E) is the cleanest solution here.
upvoted 0 times
...
Ronnie
10 days ago
Option E is the way to go! Serverless SQL endpoints will only run when needed, minimizing the total running time. I like that efficiency.
upvoted 0 times
...
Skye
13 days ago
I see both points, but I think option C could also be effective. Reducing the cluster size may help optimize performance.
upvoted 0 times
...
Gail
14 days ago
I disagree, I believe option E is the way to go. Setting up the SQL endpoint to be serverless can also reduce running time.
upvoted 0 times
...
Loreta
18 days ago
I think option A is the best choice. Auto Stop feature can help minimize running time.
upvoted 0 times
...

Save Cancel