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Hitachi Vantara HCE-5920 Exam - Topic 5 Question 82 Discussion

You are running a Pentaho MapReduce (PMR) job that is facing on Hadoop. You review the YARN logs and determine that the mappers are generating out of memory errors.Which action will resolve the mapper errors?
A) Edit me Pentaho server startup script to increase the memory setting
B) Increase the Number of mapper tacks in the PMR step.
C) Set the JVM memory parameters appropriately in the User Denned tab of the PMR step
D) Set the Enable blocking option in the PMR step.

Hitachi Vantara HCE-5920 Exam - Topic 5 Question 82 Discussion

Actual exam question for Hitachi Vantara's HCE-5920 exam
Question #: 82
Topic #: 5
[All HCE-5920 Questions]

You are running a Pentaho MapReduce (PMR) job that is facing on Hadoop. You review the YARN logs and determine that the mappers are generating out of memory errors.

Which action will resolve the mapper errors?

Show Suggested Answer Hide Answer
Suggested Answer: A

by Felix at May 28, 2026, 04:47 AM

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Florencia
2 hours ago
I vaguely recall something about the Enable blocking option, but I’m not convinced it would directly address the memory issue we're facing here.
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Lavonda
5 days ago
I think option C sounds familiar; we practiced setting JVM parameters in the User Defined tab during our last session. That might be the right approach.
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Noel
10 days ago
I'm not entirely sure, but I feel like increasing the number of mapper tasks might not really help if the mappers are already running out of memory.
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Zona
16 days ago
I remember we discussed memory settings in class, and I think option A could be a good choice to resolve the out of memory errors.
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