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Cloudera CCA175 Exam Questions

Status: RETIRED
Exam Name: CCA Spark and Hadoop Developer
Exam Code: CCA175
Related Certification(s): Cloudera Certified Associate Certification
Certification Provider: Cloudera
Number of CCA175 practice questions in our database: 96 (updated: 16-08-2024)
Expected CCA175 Exam Topics, as suggested by Cloudera :
  • Topic 1: Understand the fundamentals of querying datasets in Spark/ Write the results back into HDFS using Spark
  • Topic 2: Write queries that calculate aggregate statistics/ Load data from HDFS for use in Spark applications
  • Topic 3: Use meta store tables as an input source or an output sink for Spark applications/ Filter data using Spark
  • Topic 4: Generate reports by using queries against loaded data/ Produce ranked or sorted data
  • Topic 5: Perform standard extract, transform, load (ETL) processes on data using the Spark API/ Join disparate datasets using Spark
  • Topic 6: Use Spark SQL to interact with the meta store programmatically in your applications/ Read and write files in a variety of file formats
Disscuss Cloudera CCA175 Topics, Questions or Ask Anything Related
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Olga

5 months ago
Passing the Cloudera CCA Spark and Hadoop Developer exam was a great achievement for me, and I attribute my success to practicing with Pass4Success practice questions. The exam tested my knowledge of writing queries that calculate aggregate statistics and loading data from HDFS for use in Spark applications. One question that I found particularly tricky was about writing results back into HDFS using Spark. Despite my initial uncertainty, I was able to answer it correctly and pass the exam.
upvoted 0 times
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Larae

6 months ago
My exam experience was successful as I passed the Cloudera CCA Spark and Hadoop Developer exam. The topics of loading data from HDFS for use in Spark applications were crucial for the exam. One question that I remember was about understanding the fundamentals of querying datasets in Spark. It was a challenging question, but I was able to answer it correctly and pass the exam.
upvoted 0 times
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Daisy

6 months ago
Just passed the CCA Spark and Hadoop Developer exam! Be prepared for hands-on questions on Spark SQL transformations. Focus on understanding window functions and their applications. Thanks to Pass4Success for the spot-on practice questions that helped me prepare efficiently!
upvoted 0 times
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Sharmaine

6 months ago
I recently passed the Cloudera CCA Spark and Hadoop Developer exam with the help of Pass4Success practice questions. The exam covered topics such as querying datasets in Spark and writing results back into HDFS. One question that stood out to me was related to writing queries that calculate aggregate statistics. I was a bit unsure of the answer, but I managed to pass the exam.
upvoted 0 times
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Free Cloudera CCA175 Exam Actual Questions

Note: Premium Questions for CCA175 were last updated On 16-08-2024 (see below)

Question #1

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

Reveal Solution Hide Solution
Correct Answer: A

Question #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

Reveal Solution Hide Solution
Correct Answer: A

Question #3

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

Reveal Solution Hide Solution
Correct Answer: B

Question #4

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

Reveal Solution Hide Solution
Correct Answer: A

Question #5

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

Reveal Solution Hide Solution
Correct Answer: A

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