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Huawei Exam H13-723_V2.0 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

Contribute your Thoughts:

Luz
3 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
1 months ago
That's right, they can access data via table fields and run on different computational frameworks.
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Eliseo
1 months ago
I agree, they both have SQL abilities and can run on MapReduce or Spark.
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Brendan
2 months ago
I think A, B, and D are correct.
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Tyra
3 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
2 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
2 months ago
Yeah, B and D seem to make the most sense based on the descriptions given.
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Jacob
3 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
4 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
2 months ago
So, the correct answer is C.
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Theresia
2 months ago
That's right, they both provide table-like abstractions over NoSQL stores.
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Jani
3 months ago
Yes, both Hive and Spark SQL can access HBase data through table fields.
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Charlene
3 months ago
I think C is the correct answer.
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Marti
4 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
3 months ago
Yes, that's right. They are both built on those computational frameworks.
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Reiko
3 months ago
I think B and D are correct. They both run on MapReduce and Spark.
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Rosenda
4 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
3 months ago
D) Both can run onSparkon the computational framework
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Rosalind
3 months ago
C) Both are available via table fields andHBaseAccess by field mappingHBasedata on
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Ines
3 months ago
B) Both can run onMapReduceon the computational framework
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Sophia
3 months ago
A) Both are available externallySQLor classSQLability
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Ivan
4 months ago
I'm not sure about C, but A and D seem right to me.
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Justa
4 months ago
I agree with Judy, A and D make sense.
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Judy
4 months ago
I think A and D are correct.
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