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Huawei Exam H13-711 Topic 4 Question 101 Discussion

Actual exam question for Huawei's H13-711 exam
Question #: 101
Topic #: 4
[All H13-711 Questions]

Spark's Executor can run multiple tasks.

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Suggested Answer: A

by Alana at Sep 14, 2024, 01:20 PM

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Herman
5 days ago
Okay, let me think this through. The question is asking about the file system path, so I'm guessing it's either DocumentRoot or root. I'll have to double-check the Nginx docs to be sure.
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Demetra
1 years ago
Absolutely, the Executor's ability to run multiple tasks is a key feature of Spark's distributed processing capabilities.
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Lura
11 months ago
Yes, Spark's Executor is designed to efficiently manage and execute multiple tasks.
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Cassie
11 months ago
A) is correct
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Rozella
11 months ago
That's right, the Executor in Spark can handle multiple tasks simultaneously.
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Leila
11 months ago
A) is correct
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Tamekia
1 years ago
Haha, I bet the person who wrote option B has never actually used Spark before. Of course the Executor can run multiple tasks!
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Shawnta
1 years ago
I'm not sure, but I think B) is an error.
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Colby
1 years ago
I agree, option A is the right answer. Spark's Executor is designed to handle multiple tasks efficiently.
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Rodrigo
11 months ago
Yes, A) is the right choice. Spark's Executor is built for running multiple tasks.
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Johnna
12 months ago
I also think A) is the correct answer.
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Lavonda
12 months ago
A) is correct
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Gail
1 years ago
I agree with Elvera, because Spark's Executor can indeed run multiple tasks.
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In
1 years ago
Yes, that's correct. Spark's Executor can run multiple tasks concurrently to improve performance.
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Stephen
1 years ago
Yes, that's correct. Spark's Executor can run multiple tasks concurrently to improve performance.
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Francoise
1 years ago
A) is correct
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Leila
1 years ago
A) is correct
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Serita
1 years ago
Yes, that's correct. Spark's Executor can run multiple tasks concurrently to improve performance.
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Elvera
1 years ago
I think A) is correct.
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