Cloudera Exam CCA175 Topic 2 Question 55 Discussion

Actual exam question for Cloudera's CCA175 exam

Question #: 55
Topic #: 2

Problem Scenario 94 : You have to run your Spark application on yarn with each executor 20GB and number of executors should be 50.Please replace XXX, YYY, ZZZ

export HADOOP_CONF_DIR=XXX

./bin/spark-submit \

-class com.hadoopexam.MyTask \

xxx\

-deploy-mode cluster \ # can be client for client mode

YYY\

222 \

/path/to/hadoopexam.jar \

1000

ASolution
XXX: -master yarn
YYY : -executor-memory 20G
ZZZ: -num-executors 50

BSolution
XXX: -master yarn
YYY : -executor-memory 40G
ZZZ: -num-executors 80

Show Suggested Answer

Suggested Answer: A

by Avery at Mar 04, 2024, 03:50 AM

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Felicitas

4 months ago

Candidate F: I agree, we need to consider the workload to determine the optimal configuration.

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Nu

4 months ago

Candidate E: It really depends on the specific requirements of the Spark application being run.

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Tracey

4 months ago

Candidate D: But A seems more cost-effective with 20GB memory and 50 executors.

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Ronald

4 months ago

Candidate C: I also think B is the right choice, because it will improve performance.

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Veronique

4 months ago

Candidate B: I disagree, I believe the correct answer is B with 40GB memory and 80 executors.

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Lashawnda

4 months ago

Candidate A: I think the answer is A, with 20GB memory and 50 executors.

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Leota

4 months ago

I can see both perspectives. A seems to follow the requirements exactly, while B offers a potential performance improvement.

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Aretha

5 months ago

I disagree, I believe the answer is B because it increases the executor memory and number of executors for better performance.

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Tiffiny

6 months ago

I think the answer is A because it specifies the executor memory and number of executors as required in the question.

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