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Huawei H13-711 Exam - Topic 1 Question 66 Discussion

Actual exam question for Huawei's H13-711 exam
Question #: 66
Topic #: 1
[All H13-711 Questions]

Which data types are not suitable for Hadoop's HBase?

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Suggested Answer: B

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Vicki
4 months ago
High throughput scenarios are definitely a no-go for HBase.
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Kate
4 months ago
Semi-structured data? I thought HBase was fine with that!
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Rory
4 months ago
Wait, are you sure about that? I thought it could handle massive data.
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Barb
4 months ago
Totally agree, it's not built for that!
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Hannah
4 months ago
HBase isn't great for large file applications.
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Ria
5 months ago
High throughput applications seem like they would work with HBase, but I don't remember if there are exceptions.
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Rosita
5 months ago
I practiced a question about data types in HBase, and I feel like semi-structured data might be okay, but I can't recall the specifics.
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Lucina
5 months ago
I think massive data application scenarios are actually a good fit for HBase, but I could be wrong.
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Xochitl
5 months ago
I remember that HBase is designed for large datasets, but I'm not sure if it handles large file applications well.
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Ettie
5 months ago
This is a good test of my knowledge on routing protocols and failover mechanisms. I'll methodically work through the choices and select the one that best meets the criteria.
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Edgar
5 months ago
This is a tricky one. I'm not totally sure about the impact of fast reroute on the path-mtu. I'll have to make an educated guess and hope I can eliminate some of the options.
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German
5 months ago
Hmm, I'm a bit unsure about some of these statements. I'll need to think through my Oracle inventory knowledge to figure this out.
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Vincent
5 months ago
I'm a little confused about the difference between "Close the period and open the next period" and "Perform reconciliation of subsidiary ledgers." Are those two separate steps, or are they related? I'll need to double-check the details.
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Rasheeda
5 months ago
Hmm, the question mentions that the code block contains an error, but I'm not seeing any obvious issues with the code. I'll need to carefully analyze each of the answer choices to try to identify the problem.
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Reuben
9 months ago
Wait, so HBase can't handle my collection of cat videos? Dang, there goes my big data dream. Oh well, at least I can still use it for all my massive, high-throughput, semi-structured data needs.
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Rasheeda
9 months ago
Aha, got it! Large file applications are a no-no for HBase. I bet the exam folks are trying to see if we really understand the strengths and limitations of this database. Gotta love those tricky questions.
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Rolland
9 months ago
Hold up, is this a trick question? I mean, HBase is like the ultimate data storage solution, right? How can any of these options be wrong? Oh wait, large files, that makes sense. No wonder A is the way to go.
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Hildegarde
8 months ago
Margurite: Exactly, that's the only exception.
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Jackie
8 months ago
User 3: So A) large file application scenario is not suitable for HBase.
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Margurite
8 months ago
User 2: Yeah, but not for large file applications.
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Angelyn
9 months ago
User 1: HBase is great for most scenarios.
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Margarett
9 months ago
Hmm, I'm torn between B and D. HBase is all about handling massive data, and semi-structured data is kind of its thing. But I guess large file scenarios are a no-go. Time to narrow it down.
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Edward
9 months ago
A seems like the right answer. HBase is great for handling large data sets, but not so much for managing large files. Guess that's why option A is the winner here.
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Josphine
8 months ago
B) Massive Data Application Scenarios
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Jose
9 months ago
Yeah, HBase is not the best for managing large files.
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Marleen
9 months ago
A) large file application scenario
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Monte
10 months ago
But HBase is designed for high throughput application scenarios, so I think that would be a better fit.
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Ligia
10 months ago
I disagree, I believe that large file application scenarios are not suitable for HBase.
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Monte
11 months ago
I think the data types not suitable for Hadoop's HBase are Massive Data Application Scenarios.
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