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Cloudera CCA175 Exam Dumps

Cloudera CCA175 Exam Dumps

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Number Of Questions: 96

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Exam Details

Exam Name:

CCA Spark and Hadoop Developer Exam

Exam Code:

CCA175

Total Questions in Exam:

96

Demo Questions

Q1. Problem Scenario 96 : Your spark application required extra Java options as below. -XX:+PrintGCDetails-XX:+PrintGCTimeStamps Please replace the XXX values correctly ./bin/spark-submit --name "My app" --master local[4] --conf spark.eventLog.enabled=talse --conf XXX hadoopexam.jar

A.Solution XXX: Mspark.executoi\extraJavaOptions=-XX:+PrintGCDetails -XX:+PrintGCTimeStamps' Notes: ./bin/spark-submit \ --class --master \ --deploy-mode \ -conf = \ ... # other options \ [application-arguments] Here, conf is used to pass the Spark related contigs which are required for the application to run like any specific property(executor memory) or if you want to override the default property which is set in Spark-default.conf.

B. Solution XXX: Mspark.executoi\extraJavaOptions=-XX:+PrintGCDetails -XX:+PrintGCTimeStamps' Notes: ./bin/spark-submit \ \ [application-arguments] Here, conf is used to pass the Spark related contigs which are required for the application to run like any specific property(executor memory) or if you want to override the default property which is set in Spark-default.conf.

Correct Answer: A

Q2. 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

A.Solution XXX: -master yarn YYY : -executor-memory 20G ZZZ: -num-executors 50

B. Solution XXX: -master yarn YYY : -executor-memory 40G ZZZ: -num-executors 80

Correct Answer: A

Q3. Problem Scenario 92 : You have been given a spark scala application, which is bundled in jar named hadoopexam.jar. Your application class name is com.hadoopexam.MyTask You want that while submitting your application should launch a driver on one of the cluster node. Please complete the following command to submit the application. spark-submit XXX -master yarn \ YYY SSPARK HOME/lib/hadoopexam.jar 10

A.Solution XXX: -class com.hadoopexam.MyTask

B. Solution XXX: -class com.hadoopexam.MyTask YYY : --deploy-mode cluster

Correct Answer: B

Q4. 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

A.Solution XXX: -master yarn YYY : -executor-memory 20G ZZZ: -num-executors 50

B. Solution XXX: -master yarn YYY : -executor-memory 40G ZZZ: -num-executors 80

Correct Answer: A

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