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Exam H13-711 Topic 4 Question 101 Discussion
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.
A
is correct
B
error
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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
1 months ago
Yes, Spark's Executor is designed to efficiently manage and execute multiple tasks.
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Cassie
1 months 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
3 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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Demetra
2 months agoLura
1 months agoCassie
1 months agoRozella
1 months agoLeila
2 months agoTamekia
2 months agoShawnta
3 months agoColby
3 months agoRodrigo
2 months agoJohnna
2 months agoLavonda
2 months agoGail
3 months agoIn
3 months agoStephen
2 months agoFrancoise
2 months agoLeila
2 months agoSerita
2 months agoElvera
3 months ago