Cloudera CDP-3002 : CDP Data Engineer - Certification Exam

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. When monitoring a PySpark application in Kubernetes, you notice that Executor pods are frequently restarting. What is the most likely cause of this issue?

A) Insufficient memory allocation for Executor pods.
B) Too many tasks assigned to each Executor.
C) Executor pods are not configured to restart upon failure.
D) Dynamic resource allocation is disabled.

2. For iterative machine learning algorithms in Spark, which caching level minimizes the trade-off between computation time and storage efficiency?

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

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

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

4. Considering Hive's optimization mechanisms, under which scenario might partition pruning fail to improve query performance?

A) When the table is partitioned on a column frequently used in query filters
B) When the partitioned table contains a small number of partitions
C) When querying data using a non-partition column as a filter
D) When querying data using the exact partition key in the WHERE clause

5. What are the potential consequences of persisting all intermediate RDDs in Spark with the MEMORY ONLY storage level?

A) Improved performance due to faster data access
B) All intermediate data will be automatically persisted to disk
C) No impact on the application, as Spark manages memory efficiently
D) Increased risk of application crashes due to memory exhaustion

Solutions: