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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. Which component of the Cloudera Data Engineering service is responsible for managing and scheduling data pipelines?

A) Cloudera Navigator
B) CDH Management Console
C) Cloudera Scheduler
D) Cloudera Manager

2. You are writing a PySpark application where you need to collect the final results from various Executors and present them to the user. Which aspect of the Spark Driver's role is primarily involved in this process?

A) Constructing the logical plan from the user application.
B) Optimizing resource utilization within the Kubernetes cluster.
C) Collecting final results from Executors and providing the output.
D) Managing Kubernetes API interactions for Executor lifecycle.

3. What is a primary consideration when deciding to cache data in a distributed computing environment like Apache Spark?

A) Ensuring data is encrypted before caching
B) The trade-off between memory usage and computational efficiency
C) Using disk storage for all cached data to improve fault tolerance
D) Caching every dataset regardless of its access frequency

4. You're tasked with optimizing the performance of your ETL pipeline in Airflow. What are some potential strategies to consider?

A) All of the above
B) Leverage partitioning and bucketing techniques in the data warehouse to improve query performance.
C) Increase the number of worker processes in Airflow to parallelize task execution.
D) Utilize efficient data structures and algorithms within your custom Python operators for data transformation.

5. Which tool or API is primarily used for monitoring and inspecting the performance of Spark applications in real-time?
A Spark History Server

A) Hadoop YARN ResourceManager UI
B) Spark Web UI
C) Apache Ambari

Solutions: