Free Cloudera CDP-3002 Exam Questions

Become Cloudera Certified with updated CDP-3002 exam questions and correct answers

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Total 300 Questions | Updated On: Mar 28, 2025

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Question 1

What is the purpose of Spark's spark.sql.shuffle.partitions parameter?

A : control the number of tasks for a job

B : set the number of cores for a Spark application

C : adjust the memory allocated to Spark executors

D : control the number of partitions for shuffle operations

Answer: D

Question 2

How does CDP Iceberg handle schema evolution?

A : using schema-on-read

B : creating new tables for each schema change

C : maintaining schema history separately

D : applying schema modifications to existing tables

Answer: D

Question 3

What is the role of spark.sql.parquet.columnar in schema management?

A : sets the maximum size of Parquet files

B : controls the use of columnar storage for Parquet files

C : specifies the schema format for Parquet files

D : defines the number of partitions for Parquet files

Answer: B

Question 4

How can dynamic partitioning improve the performance of ETL processes in Cloudera?

A : increasing the number of partitions

B : improving data distribution

C : optimizing network throughput

D : reducing the need for manual data management

Answer: B

Question 5

What role does data partitioning play in improving join performance in Cloudera?

A : creases data redundancy

B : ures data is evenly distributed

C : creases query complexity

D : duces network latency

Answer: B

Page: 1 / 60

Total 300 Questions | Updated On: Mar 28, 2025

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