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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're working with a large dataset containing nested JSON structures. How can you efficiently process this data using Spark, ensuring data integrity and avoiding excessive parsing overhead?

A) Leverage Spark SQL's built-in JSON support with appropriate schema definition
B) Use generic string manipulation functions to extract data from JSON
C) Convert the entire dataset to a single string and process it line by line
D) Implement a custom parser for the specific JSON structure

2. You need to design a DAG that can be easily monitored and visualized for performance insights. How can you achieve this?

A) Implement alerts and notifications within the DAG to trigger upon specific events or performance thresholds.
B) Utilize Airflow's built-in metrics and monitoring features like the Airflow web UI to track DAG execution and task performance.
C) Implement custom logic within each task to send detailed performance metrics to external monitoring tools.
D) All of the above

3. In a PySpark application running on Kubernetes, you want to enable dynamic allocation of Executors. Which configuration setting is essential to turn on this feature?

A) 'spark.dynamicAllocation.enabled'
B) 'spark.kubernetes.dynamicAllocation.enabled'
C) 'spark.executor.instances'
D) 'spark.kubernetes.executor.dynamicAllocation'

4. Your Airflow DAG encounters an error during the data transformation stage. What information can you access in the Airflow UI to troubleshoot the issue?

A) The Airflow web server logs might contain relevant information about the error.
B) The DAG run details page displays the task logs, providing insights into the specific error encountered.
C) You need to manually inspect the code for potential issues.
D) All of the above

5. In Spark, what is the advantage of using the 'coalesce' method over the 'repartition' method when reducing the number of partitions in an RDD?

A) 'coalesce' triggers a full shuffle of the data, improving data distribution.
B) 'coalesce' reduces the number of partitions without a full data shuffle, enhancing performance.
C) 'repartition' is incapable of reducing the number of partitions.
D) 'coalesce' can increase the number of partitions without shuffling.

Solutions: