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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. Your team is using Spark on Kubernetes, and you've been tasked with improving the efficiency of resource utilization. You decide to enable dynamic allocation of executors based on workload. Which of the following PySpark session configurations correctly enables dynamic allocation?

A)

B)

C)

D)

2. You encounter an error message stating "Task timed out" while running your Airflow DAG. What are some potential causes and how can you troubleshoot them?

A) The data processing task is taking longer than the configured timeout for the task.
B) The extraction task is encountering issues connecting to the source system.
C) The DAG is running too frequently, overloading the system resources.
D) All of the above

3. What are the potential trade-offs to consider when using checkpointing in Spark applications?

A) Checkpointing always improves performance and has no drawbacks
B) All of the above
C) Checkpointing requires manual configuration and can be error-prone
D) Checkpointing introduces overhead for storing and recovering data, impacting performance

4. You want to schedule your ETL pipeline to run daily at 5:00 AM. How can you configure the DAG's scheduling?

A) Define a custom Python function to schedule the DAG at the desired time.
B) Utilize Airflow triggers to initiate the DAG execution at 5:00 AM daily.
C) Set the schedule_interval parameter to "0 5
D) Use the cron expression "daily at 5:00".

5. Which command line tool is essential for interacting with Cloudera's Hadoop ecosystem for file operations?

A) ci-JRL
B) Git
C) Hadoop fs
D) SSH

Solutions: