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Cloudera CDP Data Engineer - Certification Sample Questions:

1. What is the difference between RDDs and DataFrames in Spark?

A) RDDs are lower-level abstractions, while DataFrames offer higher-level functionalities
B) Both B and C
C) RDDs represent distributed datasets, while DataFrames work with structured data
D) RDDs are mutable, while DataFrames are immutable

2. Which Kubernetes tool would you use to access logs from a Spark Driver running in a pod?

A) 'kubectl exec'
B) 'spark-submit'
C) 'kubectl logs'
D) Kubernetes Dashboard

3. A PySpark application is facing performance issues due to uneven distribution of data across the nodes. Which approach would best help in resolving this issue?

A) Use 'df.collect()'.
B) Apply 'df.coalesce(Y to reduce the number of partitions.
C) Employ to redistribute data based on a key.
D) Convert the DataFrame to an RDD and then back to a DataFrame.

4. When performing a bucketed join between two tables, what must be true for the join to be executed as a map-side join, thereby maximizing performance?

A) Only one table needs to be bucketed, regardless of the bucket count.
B) Both tables must be bucketed on the join columns with a different number of buckets.
C) Both tables must be bucketed on the join columns with the same number of buckets and the same hash function.
D) Both tables must be partitioned, not bucketed, on the join columns.

5. You are setting up a high-availability Spark cluster and need to configure the master node for recovery using ZooKeeper.
Which configuration should be added to the 'spark-defaults.conf' file?

A)

B)

C)

D)

Solutions: