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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. Which technique in the Optimization Framework is primarily used to improve query performance by reducing the number of rows to be scanned in a table?

A) Data compaction
B) Data replication
C) Predicate pushdown
D) Indexing

2. Which of the following is a benefit of using broadcast variables in Spark for caching static lookup tables?

A) They are automatically cleaned up after each task.
B) They reduce network I/O by making data available locally on each node.
C) They increase the amount of data shuffle during joins.
D) They reduce the reliability of Spark applications.

3. You're working with a complex data pipeline involving Spark and Hive, and you need to monitor its performance and identify potential bottlenecks. Which tools and techniques can you employ for effective monitoring?

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

4. In the context of packaging a PySpark application, what is the purpose of the 'requirements.txt' file?

A) To define the Spark version compatible with the application.
B) To specify the Python version required for the application.
C) To list the environment variables needed for the application.
D) To list all the third-party dependencies required by the application.

5. When configuring a Spark job to run on Kubernetes within the Cloudera Data Engineering (CDE. service, which property is crucial for specifying the Docker image to be used by the executors?

A) spark.kubernetes.container.image
B) spark.kubernetes.executor.container.image
C) spark.executor.image
D) spark.cde.container.image

Solutions: