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Huawei H13-723_V2.0 Exam - Topic 1 Question 36 Discussion

Actual exam question for Huawei's H13-723_V2.0 exam
Question #: 36
Topic #: 1
[All H13-723_V2.0 Questions]

FusionInsight HDin, aboutHiveandSparksql, which of the following descriptions are correct? (multiple choice)

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Suggested Answer: A, B, C, D

by Fausto at Apr 22, 2024, 09:49 AM

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Bernardo
3 months ago
I thought only Hive could run on MapReduce, not both.
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Carylon
3 months ago
Totally agree with A and D!
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Burma
3 months ago
Wait, are you sure about C? Sounds off.
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Rebbecca
4 months ago
I think B is also true.
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Rene
4 months ago
A and D are correct!
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Tresa
4 months ago
Option D seems right to me; I definitely remember that both can run on Spark, but I hope I’m not mixing it up with something else.
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Junita
4 months ago
I'm a bit confused about option C. I feel like HBase access was mentioned in our readings, but I can't recall the specifics.
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Marguerita
4 months ago
I remember practicing a question about MapReduce, and I think option B is correct since both can run on it.
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Jesusita
5 months ago
I think option A sounds familiar, but I'm not entirely sure if both really have external SQL capabilities.
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Irma
5 months ago
Okay, I think I've got this. Hive and Spark SQL are both SQL-like interfaces, and they can both run on top of computational frameworks like MapReduce and Spark. I'll select the options that best describe their capabilities.
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Ardella
5 months ago
Hmm, I'm a bit confused about the relationship between Hive, Spark SQL, and MapReduce. I'll need to review my notes to refresh my memory on the computational frameworks they use.
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Stephanie
5 months ago
This question seems straightforward, but I want to make sure I understand the key differences between Hive and Spark SQL before selecting the correct options.
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Chana
5 months ago
I'm pretty confident about this one. Hive and Spark SQL are both SQL-like query engines, and they can both leverage the power of distributed computing frameworks like MapReduce and Spark. I'll select the options that capture that.
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Chanel
5 months ago
Okay, I think I know the answer to this one. If the Citrix ADC is the common SAML identity provider, then the subsequent application launches without explicit authentication make sense.
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Heike
5 months ago
This question seems straightforward, but I want to make sure I understand the key concepts before answering. I'll read through the options carefully and think about how Cortex XDR Analytics might work in this scenario.
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Eliz
5 months ago
Hmm, I'm not entirely sure about the differences between the product types here. Let me think this through carefully.
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Margart
5 months ago
I think it's possible that one Availability Zone didn't have enough capacity for the instance type. I remember studying something about capacity limits during my training.
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Luz
10 months ago
This question is a bit of a 'Hive' mind, if you ask me. But I'd say A, B, and D are the way to go.
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Judy
8 months ago
That's right, they can access data via table fields and run on different computational frameworks.
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Eliseo
8 months ago
I agree, they both have SQL abilities and can run on MapReduce or Spark.
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Brendan
9 months ago
I think A, B, and D are correct.
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Tyra
10 months ago
Haha, 'aboutHiveandSparksql'? Whoever wrote this question needs to work on their English skills. But I'd go with B and D as the correct answers.
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Johna
8 months ago
I'm leaning towards B and D as well. They both make sense in the context of the question.
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Dion
9 months ago
Yeah, B and D seem to make the most sense based on the descriptions given.
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Jacob
9 months ago
I agree, the question wording is a bit off. But I also think B and D are the correct answers.
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Kenda
10 months ago
I think C is the correct answer. Hive and Spark SQL both provide table-like abstractions over data stored in HBase or other NoSQL stores.
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Gladis
9 months ago
So, the correct answer is C.
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Theresia
9 months ago
That's right, they both provide table-like abstractions over NoSQL stores.
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Jani
9 months ago
Yes, both Hive and Spark SQL can access HBase data through table fields.
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Charlene
10 months ago
I think C is the correct answer.
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Marti
10 months ago
I'd say B and D are the correct answers. Hive and Spark SQL are both built on top of the MapReduce and Spark computational frameworks, respectively.
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Brynn
10 months ago
Yes, that's right. They are both built on those computational frameworks.
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Reiko
10 months ago
I think B and D are correct. They both run on MapReduce and Spark.
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Rosenda
11 months ago
Both A and D seem to be correct options. Hive and Spark SQL are both SQL-like interfaces that allow you to interact with data stored in a distributed environment like Hadoop.
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Jolanda
10 months ago
D) Both can run onSparkon the computational framework
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Rosalind
10 months ago
C) Both are available via table fields andHBaseAccess by field mappingHBasedata on
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Ines
10 months ago
B) Both can run onMapReduceon the computational framework
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Sophia
10 months ago
A) Both are available externallySQLor classSQLability
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Ivan
11 months ago
I'm not sure about C, but A and D seem right to me.
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Justa
11 months ago
I agree with Judy, A and D make sense.
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Judy
11 months ago
I think A and D are correct.
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