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.

Ais correct

Berror

Show Suggested Answer

Suggested Answer: A

by Alana at Sep 14, 2024, 12:20 PM

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Demetra

2 months 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

28 days ago

Yes, Spark's Executor is designed to efficiently manage and execute multiple tasks.

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Cassie

29 days ago

A) is correct

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Rozella

1 months ago

That's right, the Executor in Spark can handle multiple tasks simultaneously.

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Leila

2 months ago

A) is correct

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Tamekia

2 months 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

2 months ago

I'm not sure, but I think B) is an error.

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Colby

3 months ago

I agree, option A is the right answer. Spark's Executor is designed to handle multiple tasks efficiently.

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Rodrigo

2 months ago

Yes, A) is the right choice. Spark's Executor is built for running multiple tasks.

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Johnna

2 months ago

I also think A) is the correct answer.

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Lavonda

2 months ago

A) is correct

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Gail

3 months ago

I agree with Elvera, because Spark's Executor can indeed run multiple tasks.

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In

3 months ago

Yes, that's correct. Spark's Executor can run multiple tasks concurrently to improve performance.

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Stephen

2 months ago

Yes, that's correct. Spark's Executor can run multiple tasks concurrently to improve performance.

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Francoise

2 months ago

A) is correct

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Leila

2 months ago

A) is correct

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Serita

2 months ago

Yes, that's correct. Spark's Executor can run multiple tasks concurrently to improve performance.

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Elvera

3 months ago

I think A) is correct.

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