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Databricks Exam Databricks-Certified-Data-Engineer-Associate Topic 4 Question 27 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 27
Topic #: 4
[All Databricks-Certified-Data-Engineer-Associate Questions]

Contribute your Thoughts:

Shala
4 months ago
C is the one. Scaling storage is key when you're dealing with an avalanche of data. Gotta keep those servers hungry!
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Tori
5 months ago
Haha, E all the way! Open source means no more begging the vendor for features. We'll just build it ourselves!
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Charlie
4 months ago
Exactly! No more waiting around for updates, we can take control ourselves.
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Adolph
4 months ago
E) Avoiding vendor lock-in
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Flo
5 months ago
Hmm, I'd go with B. Simplified governance sounds like music to my ears. Bureaucracy, be gone!
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Leanna
5 months ago
I think D. The ability to scale workloads is crucial in the big data era. Gotta keep up with those growing data demands!
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Nana
4 months ago
Definitely! It's important to have the flexibility to adapt to changing data demands.
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Laquita
4 months ago
I agree, being able to scale workloads is essential for handling large amounts of data efficiently.
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Rupert
5 months ago
I agree, open source technologies provide more flexibility and control.
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Otis
5 months ago
I think the benefit of avoiding vendor lock-in is crucial.
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Yesenia
6 months ago
Definitely E. Avoiding vendor lock-in is the biggest advantage of open source technologies. Say goodbye to proprietary traps!
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Ryan
4 months ago
A) Cloud-specific integrations are also important. It allows for seamless integration with various cloud services.
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Tyra
4 months ago
E) Avoiding vendor lock-in is crucial. No more being tied down to one provider!
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Margret
5 months ago
A) Cloud-specific integrations are also important. It allows for seamless integration with cloud services.
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Basilia
5 months ago
A) Cloud-specific integrations
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Basilia
5 months ago
E) Avoiding vendor lock-in
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Cassie
5 months ago
E) Avoiding vendor lock-in is crucial. Open source technologies offer more flexibility.
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