Apache Spark Spark Core and RDDs

Question 1

What does RDD stand for in Apache Spark?

Accepted Answer

Resilient Distributed Dataset

Answer

Redundant Data Distribution

Answer

Remote Data Driver

Answer

Reactive Distributed Database

Question 2

Which of the following is a transformation in Spark RDDs?

Accepted Answer

map()

Answer

collect()

Answer

count()

Answer

save()

Question 3

What is the default number of partitions when creating an RDD from a collection using sc.parallelize()?

Accepted Answer

Depends on the SparkContext default parallelism

Answer

1

Answer

2

Answer

10

Question 4

Which RDD operation returns all elements of the RDD to the driver program?

Accepted Answer

collect()

Answer

take()

Answer

first()

Answer

count()

Question 5

What does the flatMap() transformation do in Spark?

Accepted Answer

Maps each element to zero or more output elements and flattens the result

Answer

Maps each element to exactly one output element

Answer

Flattens nested RDDs into a single RDD

Answer

Filters elements based on a condition

Question 6

Which storage level in Spark caches RDD data in memory as deserialized Java objects?

Accepted Answer

MEMORY_ONLY

Answer

MEMORY_ONLY_SER

Answer

DISK_ONLY

Answer

MEMORY_AND_DISK_SER