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Exam Certified Data Engineer Professional All Questions

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Exam Certified Data Engineer Professional topic 1 question 62 discussion

Actual exam question from Databricks's Certified Data Engineer Professional
Question #: 62
Topic #: 1
[All Certified Data Engineer Professional Questions]

The business reporting team requires that data for their dashboards be updated every hour. The total processing time for the pipeline that extracts transforms, and loads the data for their pipeline runs in 10 minutes.

Assuming normal operating conditions, which configuration will meet their service-level agreement requirements with the lowest cost?

  • A. Manually trigger a job anytime the business reporting team refreshes their dashboards
  • B. Schedule a job to execute the pipeline once an hour on a new job cluster
  • C. Schedule a Structured Streaming job with a trigger interval of 60 minutes
  • D. Schedule a job to execute the pipeline once an hour on a dedicated interactive cluster
  • E. Configure a job that executes every time new data lands in a given directory
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️

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divingbell17
Highly Voted 10 months, 4 weeks ago
Selected Answer: B
B is correct I think. With option C, the cluster remains on 24/7 with trigger = 60 mins which is more costly If there is an option with structure streaming with trigger = availablenow, and job scheduled per hour, that would be even more efficient. https://www.databricks.com/blog/2017/05/22/running-streaming-jobs-day-10x-cost-savings.html
upvoted 8 times
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robodog
Most Recent 3 months ago
Selected Answer: C
C. The lowest cost is obtained by using job cluster
upvoted 1 times
robodog
3 months ago
B answer i mean
upvoted 2 times
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Curious76
9 months ago
Selected Answer: C
Databricks recommends using Structured Streaming with trigger AvailableNow for incremental workloads that do not have low latency requirements.
upvoted 2 times
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spaceexplorer
10 months ago
Selected Answer: B
B is correct
upvoted 4 times
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alexvno
11 months, 1 week ago
Selected Answer: B
B : Job cluster is cheap , hourly = 60 minutes
upvoted 4 times
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aragorn_brego
1 year ago
Selected Answer: B
Scheduling a job to execute the pipeline on an hourly basis aligns with the requirement for data to be updated every hour. Using a job cluster (which is brought up for the job and torn down upon completion) rather than a dedicated interactive cluster will usually be more cost-effective. This is because you are only paying for the compute resources when the job is running, which is 10 minutes out of every hour, rather than paying for an interactive cluster that would be up and running (and incurring costs) continuously.
upvoted 2 times
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ofed
1 year ago
It's either B or D. I think B, because we want the lowest cost.
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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