Cloudera CDP-3002 Actual Tests : CDP Data Engineer - Certification Exam

Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're working with a complex data pipeline involving both Spark and Hive operations. How can you ensure data consistency and avoid data corruption across different stages?

A) Use separate clusters for Spark and Hive processing
B) Rely solely on Spark's checkpointing capabilities
C) Leverage ACID transactions in both Spark and Hive
D) Manually manage data consistency through custom code

2. When configuring a Hive table with bucketing, how does the choice of the bucketing column(s) influence query performance?

A) Bucketing on columns that are frequently updated optimizes data modification operations and query performance.
B) Selecting highly unique or skewed columns for bucketing can lead to uneven data distribution and potential performance bottlenecks.
C) The choice of bucketing column(s) has no impact on performance as long as the number of buckets is optimally chosen.
D) The bucketing column(s) should be chosen randomly to ensure a uniform distribution of data across buckets.

3. How does Hive handle bucketing when the data inserted into a bucketed table does not evenly distribute across the buckets?

A) Hive rejects the data insertion and raises an error.
B) Hive dynamically adjusts the number of buckets to evenly distribute the data.
C) Hive distributes the data based on the hash value of the bucketing column, potentially leading to skewed buckets.
D) Hive automatically rebalances the data across buckets using a round-robin distribution.

4. What technique can be employed to optimize join performance by reducing data shuffle across the network?

A) Decreasing the memory allocated to executors
B) Increasing the number of partitions
C) Using broadcast joins for smaller datasets
D) Partitioning both datasets on a different key

5. What benefit does bucketing provide for join operations in Hive?

A) It enables cross-database joins by default.
B) It ensures data privacy by encrypting join keys.
C) It can reduce the cost of joins by enabling map-side joins.
D) It allows for the join condition to be omitted in queries.

Solutions: