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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You want to select specific columns from a Spark DataFrame and rename them. How can you achieve this in Spark SQL?

A) Use the select() method with column names and aliases within parentheses
B) Use Spark SQL's ALTER TABLE statement to modify the table schema
C) Implement custom logic to iterate through the DataFrame and create a new one
D) Modify the original DataFrame schema directly

2. When persisting an RDD in Spark, what factors should you consider when choosing the storage level (e.g., MEMORY ONLY, MEMORY AND_DISK)?

A) Prioritize keeping data in memory for faster access
B) Balance memory usage with fault tolerance needs
C) All of the above
D) Only consider the size of the RDD

3. How does setting the "priority_weight" parameter in Airflow tasks influence the scheduler's behavior?

A) It sets a fixed time slot during which the task must be executed, overriding the scheduler's automatic timing.
B) It influences the order in which tasks are selected for execution across multiple DAGs competing for resources.
C) It allocates more CPIJ and memory resources to tasks with higher priority weights.
D) It determines the order in which tasks are executed within the same DAG.

4. You are setting up a high-availability Spark cluster and need to configure the master node for recovery using ZooKeeper.
Which configuration should be added to the 'spark-defaults.conf' file?

A)

B)

C)

D)

5. You're tasked with monitoring the performance and resource utilization of your Spark jobs. What tools and techniques can you employ for effective monitoring and troubleshooting?

A) Manually analyze Spark logs after job completion
B) Implement custom instrumentation code within your Spark application
C) Leverage YARN resource manager and Spark metrics for detailed monitoring
D) Use Spark's web UI for basic job status information

Solutions: