What is Pyspark?
Pyspark day 1

Quiz
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Special Education
•
Professional Development
•
Easy

Gupta Abhishek
Used 1+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
A new species of snake
A type of firework
Python API for Apache Spark
A type of computer virus
Answer explanation
Pyspark is a Python API for Apache Spark, a powerful distributed computing system for big data processing.
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the advantages of using Pyspark?
Pyspark has no advantages compared to other big data tools
Pyspark has limited APIs in Python
Pyspark offers easy integration with other big data tools, high-level APIs in Python, and a powerful processing engine.
Pyspark has a slow processing engine
Answer explanation
Pyspark offers easy integration, high-level APIs, and a powerful processing engine, making it advantageous compared to other big data tools.
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the concept of Resilient Distributed Datasets (RDDs) in Pyspark.
RDDs cannot be rebuilt if a partition is lost
RDDs are only stored in a single node in a cluster
RDDs are a fundamental data structure in Pyspark that represents a collection of items distributed across multiple nodes in a cluster, and they are resilient in the sense that they can be rebuilt if a partition is lost.
RDDs are a type of database in Pyspark
Answer explanation
RDDs are a fundamental data structure in Pyspark that represents a collection of items distributed across multiple nodes in a cluster, and they are resilient in the sense that they can be rebuilt if a partition is lost.
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How can you create an RDD in Pyspark?
sc.makeRDD(data)
spark.createRDD(data)
sc.parallelize(data)
Answer explanation
To create an RDD in Pyspark, use the 'sc.parallelize(data)' method. It is the correct choice for creating RDDs.
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What are the different transformations in Pyspark?
transform
There are various transformations in Pyspark such as map, filter, reduce, flatMap, groupByKey, reduceByKey, sortByKey, join, and many more.
aggregate
sort
Answer explanation
The correct choice is 'There are various transformations in Pyspark such as map, filter, reduce, flatMap, groupByKey, reduceByKey, sortByKey, join, and many more.'
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Explain the map transformation in Pyspark.
Map transformation only works on numeric data in Pyspark.
Map transformation applies a function to the entire RDD at once.
Map transformation applies a function to each element in the RDD and returns a new RDD.
Map transformation returns the original RDD without any changes.
Answer explanation
Map transformation applies a function to each element in the RDD and returns a new RDD.
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the difference between map and flatMap transformations in Pyspark?
The map transformation applies a function that returns an iterator and then flattens the result.
The flatMap transformation applies a function to each element of the RDD independently.
Map and flatMap transformations are the same and can be used interchangeably.
The map transformation applies a function to each element of the RDD independently, while the flatMap transformation applies a function that returns an iterator and then flattens the result.
Answer explanation
The map transformation applies a function to each element of the RDD independently, while the flatMap transformation applies a function that returns an iterator and then flattens the result.
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