Cloudera Cloudera Certification CDP-3002

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

Question #1
When optimizing join operations in a distributed data processing environment, why is it important to co-locate join keys?

A. To increase the storage capacity required for join operations
B. To minimize data shuffle by ensuring related data is on the same node
C. To enhance data encryption methods for secure joins
D. To ensure data integrity by preventing data loss during network transmission

Question #2
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. Incorporating API token rotation and secure secret management practices
C. Disabling TLS for API endpoints to simplify integration
D. Using generic Spark Docker images for all jobs to avoid API customization

Question #3
You're provisioning a new Cloudera Data Engineering (CDE. virtual cluster. Which of the following factors should you consider when choosing an appropriate instance type for Iceberg workloads? (Choose two)

A. The expected size of your Iceberg tables
B. The complexity of your SQL queries and transformations
C. The network bandwidth required by your Iceberg jobs
D. Whether you require GPU acceleration for machine learning tasks integrated with Iceberg
E. The type of storage (SSD vs. HDD. needed for optimal performance

Question #4
For a dataset that is used multiple times in different transformations but is not large enough to warrant disk storage, which caching level in Apache Spark is most appropriate?

A. MEMORY AND DISK SER
B. DISK ONLY
C. MEMORY ONLY
D. MEMORY ONLY SER

Question #5
Which Spark component is responsible for managing the execution of tasks on worker nodes?

A. spark SQL
B. Spark Executor
C. Spark Driver
D. Spark Core

Solutions: