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

FusionInsight HDin, aboutHiveandSparksql, which of the following descriptions are correct? (multiple choice)
A) Both are available externallySQLor classSQLability and B) Both can run onMapReduceon the computational framework and C) Both are available via table fields andHBaseAccess by field mappingHBasedata on and D) Both can run onSparkon the computational framework

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
10 months ago
I thought only Hive could run on MapReduce, not both.
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Carylon
10 months ago
Totally agree with A and D!
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Burma
10 months ago
Wait, are you sure about C? Sounds off.
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Rebbecca
11 months ago
I think B is also true.
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Rene
11 months ago
A and D are correct!
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Tresa
11 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
11 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
11 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
12 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
12 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
12 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
12 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
12 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
12 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
12 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
12 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
12 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
1 year 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
1 year ago
That's right, they can access data via table fields and run on different computational frameworks.
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Eliseo
1 year ago
I agree, they both have SQL abilities and can run on MapReduce or Spark.
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Brendan
1 year ago
I think A, B, and D are correct.
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Tyra
1 year 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
1 year 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
1 year ago
Yeah, B and D seem to make the most sense based on the descriptions given.
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Jacob
1 year 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
1 year 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
1 year ago
So, the correct answer is C.
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Theresia
1 year ago
That's right, they both provide table-like abstractions over NoSQL stores.
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Jani
1 year ago
Yes, both Hive and Spark SQL can access HBase data through table fields.
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Charlene
1 year ago
I think C is the correct answer.
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Marti
1 year 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
1 year ago
Yes, that's right. They are both built on those computational frameworks.
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Reiko
1 year ago
I think B and D are correct. They both run on MapReduce and Spark.
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Rosenda
1 year 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
1 year ago
D) Both can run onSparkon the computational framework
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Rosalind
1 year ago
C) Both are available via table fields andHBaseAccess by field mappingHBasedata on
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Ines
1 year ago
B) Both can run onMapReduceon the computational framework
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Sophia
1 year ago
A) Both are available externallySQLor classSQLability
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Ivan
1 year ago
I'm not sure about C, but A and D seem right to me.
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Justa
1 year ago
I agree with Judy, A and D make sense.
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Judy
1 year ago
I think A and D are correct.
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