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Huawei H13-711 Exam - Topic 1 Question 17 Discussion

Neither Spark nor Hadoop is suitable for iterative computing scenarios.
B) False
A) True

Huawei H13-711 Exam - Topic 1 Question 17 Discussion

Actual exam question for Huawei's H13-711 exam
Question #: 17
Topic #: 1
[All H13-711 Questions]

Neither Spark nor Hadoop is suitable for iterative computing scenarios.

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Suggested Answer: B

by Kayleigh at May 03, 2022, 11:13 PM

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Bernardo
9 months ago
Are we sure about that? Seems a bit off to me.
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Hailey
9 months ago
False! Both can be optimized for certain iterative scenarios.
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Jesusa
9 months ago
Wait, really? I thought Spark was designed for that.
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Otis
10 months ago
I disagree, Hadoop can handle some iterative processes too.
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Carey
10 months ago
That's not true, Spark is great for iterative tasks!
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Sheridan
10 months ago
I recall reading that Hadoop isn't great for iterations, but I can't remember if that means both are unsuitable. Maybe it's True?
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Jovita
10 months ago
I practiced a question about Spark's capabilities, and it mentioned its efficiency in iterative tasks, so I would say False.
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Lai
10 months ago
I'm not entirely sure, but I feel like Hadoop struggles with iterations, which might make the statement true.
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Ardella
10 months ago
I think I remember that Spark is actually designed for iterative computing, so I'm leaning towards False.
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Floyd
10 months ago
From what I remember, the main difference is the timing of the quality and review steps. Agile is more iterative with ongoing quality checks, while waterfall has those steps at the end of each phase. I'm pretty confident that's the key distinction.
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Tawanna
10 months ago
Hmm, this seems like a tricky one. I'll need to think through the options carefully.
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