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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. 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.executor.instances'
C) 'spark.kubernetes.dynamicAllocation.enabled'
D) 'spark.kubernetes.executor.dynamicAllocation'

2. In the context of Hive, what mechanism ensures that data is evenly distributed across buckets?

A) A hash function applied to the bucketing column
B) Natural key distribution
C) External data balancing tools
D) Manual data insertion scripts

3. What are the potential challenges associated with schema inference in data processing pipelines?

A) Inaccuracies in inferred schemas leading to data processing errors
B) Performance overhead due to schema discovery
C) Handling complex nested structures and arrays
D) The need for manual schema updates
E) Increased storage costs for schema metadata

4. In a CI/CD pipeline, what is a key consideration when integrating Cloudera Data Engineering (CDE. service API calls for deploying Spark jobs, specifically regarding security?

A) Hardcoding API keys in the pipeline scripts
B) Using generic Spark Docker images for all jobs to avoid API customization
C) Disabling TLS for API endpoints to simplify integration
D) Incorporating API token rotation and secure secret management practices

5. In Apache Spark, which storage level is recommended for caching data that is accessed frequently but is too large to fit in memory?

A) MEMORY AND DISK
B) MEMORY ONLY
C) OFF HEAP
D) DISK ONLY

Solutions: