Question 1

What is the purpose of the retry parameter in an Apache Airflow DAG task?

Options :

A : To determine task dependencies

B : To control the number of retries after a failure

C : To manage task scheduling

D : To define the task-s execution time

Answer: B

Question 2

What is a key method for improving join performance in Cloudera's Hadoop ecosystem?

Options :

A : Use hash joins

B : Increase cluster size

C : Use nested loops

D : Increase network bandwidth

Answer: A

Question 3

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 4

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 5

What does the catchup parameter control in an Apache Airflow DAG?

Options :

A : Whether tasks are retried on failure

B : The execution of tasks in parallel

C : The number of task retries

D : The scheduling of past missed runs

Answer: D

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