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

2. For automating the deployment of Spark applications within a Cloudera Data Engineering (CDE. environment using the CDE CLI, what is the primary consideration to ensure seamless integration with existing CI/CD pipelines?

A) Ensuring all Spark applications are containerized before deployment
B) Converting all Spark code to be Kubernetes-native before deployment
C) Embedding CDE CLI commands within pipeline scripts and managing credentials securely
D) Utilizing the cde job create command with appropriate flags for version control integration

3. 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 ONLY SER
B) MEMORY AND DISK SER
C) DISK ONLY
D) MEMORY ONLY

4. How can you utilize Spark SQL for complex data analysis involving joins and aggregations on large datasets?

A) By using Spark ML libraries for machine learning tasks on data.
B) By implementing custom logic in RDDs for data manipulation.
C) By directly writing SQL queries against distributed data in Spark.
D) Both A and B.

5. You are working with a large, skewed dataset in Spark. How would you optimize processing to mitigate the impact of skew and improve performance?

A) Use salting on the skewed column during data partitioning.
B) Implement custom partitioners to evenly distribute skewed values.
C) Addressing skewed data requires
D) Broadcast the skewed data to all executors.

Solutions: