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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You want to track changes to an Iceberg table over time for auditing purposes. Which combination of Iceberg features would best support this?

A) Snapshots and manifest lists
B) Hidden partitioning and Iceberg audit logs
C) Snapshots and partition evolution
D) Metadata tables and time travel

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

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

3. You are working with a large dataset in PySpark and notice that certain operations are being executed repeatedly, leading to performance issues. Which of the following approaches should you adopt to optimize these operations?

A) Increase the number of partitions using 'df.repartition()'.
B) Use the 'df.persist()' method.
C) Write the data to a CSV file and then read it back.
D) Use the method.

4. How does Spark handle data shuffling during distributed processing?

A) By transferring only required data between executors
B) Spark doesn't perform data shuffling
C) By storing all data on a single node
D) By broadcasting all data to each executor

5. In Apache Spark, which of the following is the most effective strategy for minimizing data shuffling across nodes in a cluster?

A) Filtering data after a wide transformation
B) Increasing the number of partitions
C) Using broadcast variables for small data
D) Decreasing the number of partitions

Solutions: