Question 1

How does partition pruning enhance query performance in a Cloudera environment?

Options :

A : By compressing data partitions

B : By merging partitions

C : By limiting the number of partitions scanned

D : By creating additional partitions

Answer: C

Question 2

How does the spark.sql.shuffle.partitions setting affect performance in Spark SQL?

Options :

A : It sets the number of shuffle partitions

B : It sets the number of cores per executor

C : It defines the memory size for shuffle

D : It manages the number of executors

Answer: A

Question 3

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

Options :

A : It sets the maximum size of Parquet files

B : It controls the use of columnar storage for Parquet files

C : It specifies the schema format for Parquet files

D : It defines the number of partitions for Parquet files

Answer: B

Question 4

In Cloudera, which method is most effective for caching data that is used across multiple joins in a single query?

Options :

A : Temporary tables

B : Query results cache

C : Subqueries

D : Materialized views

Answer: D

Question 5

In Cloudera, which method is most effective for caching data that is used across multiple joins in a single query?

Options :

A : Temporary tables

B : Query results cache

C : Subqueries

D : Materialized views

Answer: D