30 Questions
When was Apache Spark developed?
2009
What are the main components integrated by Apache Spark?
Batch processing, real-time streaming, interactive query, graph programming, and machine learning
Which scenario can streaming processing be used for according to the text?
Real-time businesses, recommendation systems, and public opinion analysis
What is the consumption time comparison between Hadoop and Spark according to the given data?
Hadoop: 72 mins, Spark: 23 mins
Which big data computing engine is described as fast, versatile, and scalable in the text?
Apache Spark
How many lines of code does the lightweight Spark core have according to the text?
30,000 lines
Which data format in Apache Spark provides three different APIs for working with big data?
RDD
Which API in Apache Spark is known for its performance optimization and convenience of RDDs?
Dataset
In which languages is the strongly typed API of the Dataset API available in Apache Spark?
Java and R
What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?
RDD
What does RDD stand for in Apache Spark?
Resilient Distributed Dataset
Which API in Apache Spark is an immutable set of objects organized into columns and distributed across nodes in a cluster?
DataFrame
Which API in Apache Spark represents an extension of the DataFrame API and fits better with strongly typed languages?
Dataset
What is the advantage of RDDs in Apache Spark related to data stability?
Immutable and cannot be modified
What is the main focus of Apache Spark according to the given text?
Batch processing, real-time streaming, interactive query, graph programming, and machine learning
Which feature highlights the performance of Apache Spark according to the text?
Smart usage of existing big data components
What is the consumption time comparison between Hadoop and Spark according to the given data?
Hadoop consumes 3 times more time than Spark
Which type of analysis can be performed using Apache Spark?
Interactive analysis only
What is the main advantage of Apache Spark's lightweight core code?
It reaches sub-second delay for small datasets
What are the application scenarios mentioned for Apache Spark in the text?
Streaming processing and public opinion analysis only
What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?
RDD
Which API in Apache Spark is known for its performance optimization and convenience of RDDs?
Dataset
In which languages is the strongly typed API of the Dataset API available in Apache Spark?
Scala and Python
What does the Spark Core represent in the Spark platform?
Execution engine for the Spark platform
What are the main components integrated by Apache Spark?
DataFrame, Dataset, Spark Core
What is the advantage of RDDs in Apache Spark related to data stability?
Consistency
Which big data computing engine is described as fast, versatile, and scalable in the text?
Apache Spark
Which scenario can streaming processing be used for according to the text?
Real-time analysis of stock market trends
What is a Spark DataFrame?
An immutable set of objects organized into columns and distributed across nodes in a cluster
What is the consumption time comparison between Hadoop and Spark according to the given data?
Spark is more efficient than Hadoop for processing big data.
Test your knowledge about Apache Spark, a fast, versatile, and scalable memory-based big data computing engine. This quiz covers Spark overview, data structures, and architecture.
Make Your Own Quizzes and Flashcards
Convert your notes into interactive study material.
Get started for free
