Question 1

When is it beneficial to turn off schema inference in a Spark job?

Options :

A : When using a predefined schema to improve performance

B : When you need to perform data validation

C : When working with small datasets

D : When automatic type detection is needed

Answer: A

Question 2

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

Options :

A : By increasing the number of partitions

B : By improving data distribution

C : By optimizing network throughput

D : By reducing the need for manual data management

Answer: B

Question 3

What is the primary disadvantage of using bucketing in Cloudera?

Options :

A : Inefficient data distribution

B : Slower query performance

C : Higher memory usage

D : Increased complexity in managing bucketed tables

Answer: D

Question 4

Which Spark configuration parameter controls the size of shuffle partitions?

Options :

A : spark.sql.shuffle.partitions

B : spark.task.cpus

C : spark.driver.memory

D : spark.executor.memory

Answer: A

Question 5

Which method allows you to debug a DAG in Apache Airflow?

Options :

A : By using the Airflow CLI

B : By restarting the Airflow server

C : By checking the Airflow Web UI logs

D : By editing the DAG file directly

Answer: C

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