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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're working with a large Spark DataFrame and need to perform an aggregation operation (e.g., can you improve the performance of the aggregation? SUM, COUNT). How

A) Leverage partitioning techniques to group relevant data together
B) Use Spark SQL's built-in aggregation functions like SUM and COUNT
C) Increase the number of Spark executors without further optimization
D) All of the above

2. In the context of Airflow, what is the purpose of the "XCom" feature?

A) To enable communication between different tasks within the same DAG.
B) To trigger external systems when a DAG reaches a specific state.
C) To execute commands across different operating systems.
D) To manage dependencies and package installations across tasks.

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

4. What is a potential downside of overly granular partitioning in Hive tables?

A) Simplified data management
B) Automatic data deduplication
C) Reduced query performance due to metadata overhead
D) Increased data security

5. What is the primary advantage of using Apache Spark for distributed processing compared to traditional single-node processing?

A) Enhanced data security
B) Improved data visualization capabilities
C) Faster processing of large datasets
D) Increased storage capacity

Solutions: