Cloudera CDP-3002 : CDP Data Engineer - Certification Exam

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Cloudera CDP Data Engineer - Certification Sample Questions:

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

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

2. Which of the following is a critical consideration when deciding between using a sort merge join and a shuffle hash join in a distributed data processing system like Spark?

A) The network latency between nodes in the cluster
B) The relative size of the datasets and the available memory on each executor
C) The availability of secondary indexes on the join keys
D) The version of the Spark cluster being used

3. In the context of schema inference, which component of the Apache Spark ecosystem plays a crucial role in enabling the exploration of semi-structured data?

A) DataFrame API
B) Spark Streaming
C) RDD (Resilient Distributed Dataset)
D) Spark SQL

4. You need to process data stored in AWS S3 using SparkSQL. Which of the following options correctly reads a JSON file stored in S3 into a DataFrame and performs a SQL query on it?

A)

B)

C)

D)

5. 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'

Solutions: