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Exam Certified Data Engineer Professional All Questions

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Exam Certified Data Engineer Professional topic 1 question 112 discussion

Actual exam question from Databricks's Certified Data Engineer Professional
Question #: 112
Topic #: 1
[All Certified Data Engineer Professional Questions]

Each configuration below is identical to the extent that each cluster has 400 GB total of RAM 160 total cores and only one Executor per VM.

Given an extremely long-running job for which completion must be guaranteed, which cluster configuration will be able to guarantee completion of the job in light of one or more VM failures?

  • A. • Total VMs: 8
    • 50 GB per Executor
    • 20 Cores / Executor
  • B. • Total VMs: 16
    • 25 GB per Executor
    • 10 Cores / Executor
  • C. • Total VMs: 1
    • 400 GB per Executor
    • 160 Cores/Executor
  • D. • Total VMs: 4
    • 100 GB per Executor
    • 40 Cores / Executor
  • E. • Total VMs: 2
    • 200 GB per Executor
    • 80 Cores / Executor
Show Suggested Answer Hide Answer
Suggested Answer: B 🗳️
by hal2401me at March 14, 2024, 7:01 a.m.

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shaojunni
2 months ago
16 core provides more redundancy, fault tolerance and more parallelism. But if dataset is huge, 8VM maybe better. The question is missing some information.
upvoted 1 times
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c00ccb7
4 months, 2 weeks ago
Selected Answer: B
This setup ensures that the job can continue running and complete even if some VMs fail, as there are more VMs available to handle the workload
upvoted 1 times
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ChayV
6 months ago
Selected Answer: B
If VM is down, performance is degraded, so opting for vm's which has distributed memory per executor and optimal cores per executor.
upvoted 3 times
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hal2401me
8 months, 2 weeks ago
Selected Answer: B
in my exam today, i chose B, 16VM, because the "extremely long-run".
upvoted 3 times
ThoBustos
7 months, 1 week ago
do you have link to databricks doc?
upvoted 1 times
practicioner
3 months, 1 week ago
I have no link for Databricks doc. It's just a logic. The more VMs we have, the more robust our pipeline is.
upvoted 1 times
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