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Questions and Answers
When was Apache Spark developed?
When was Apache Spark developed?
- 2010
- 2009 (correct)
- 2012
- 2011
What are the main components integrated by Apache Spark?
What are the main components integrated by Apache Spark?
- Batch processing, real-time streaming, interactive query, graph programming, and machine learning (correct)
- Data warehousing, machine learning, and recommendation systems
- Data extraction, transformation, loading, and real-time analytics
- Interactive analysis, graph processing, and ETL operations
Which scenario can streaming processing be used for according to the text?
Which scenario can streaming processing be used for according to the text?
- Real-time businesses, recommendation systems, and public opinion analysis (correct)
- Interactive analysis and machine learning
- Data extraction and transformation
- Data warehousing and ETL operations
What is the consumption time comparison between Hadoop and Spark according to the given data?
What is the consumption time comparison between Hadoop and Spark according to the given data?
Which big data computing engine is described as fast, versatile, and scalable in the text?
Which big data computing engine is described as fast, versatile, and scalable in the text?
How many lines of code does the lightweight Spark core have according to the text?
How many lines of code does the lightweight Spark core have according to the text?
Which data format in Apache Spark provides three different APIs for working with big data?
Which data format in Apache Spark provides three different APIs for working with big data?
Which API in Apache Spark is known for its performance optimization and convenience of RDDs?
Which API in Apache Spark is known for its performance optimization and convenience of RDDs?
In which languages is the strongly typed API of the Dataset API available in Apache Spark?
In which languages is the strongly typed API of the Dataset API available in Apache Spark?
What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?
What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?
What does RDD stand for in Apache Spark?
What does RDD stand for in Apache Spark?
Which API in Apache Spark is an immutable set of objects organized into columns and distributed across nodes in a cluster?
Which API in Apache Spark is an immutable set of objects organized into columns and distributed across nodes in a cluster?
Which API in Apache Spark represents an extension of the DataFrame API and fits better with strongly typed languages?
Which API in Apache Spark represents an extension of the DataFrame API and fits better with strongly typed languages?
What is the advantage of RDDs in Apache Spark related to data stability?
What is the advantage of RDDs in Apache Spark related to data stability?
What is the main focus of Apache Spark according to the given text?
What is the main focus of Apache Spark according to the given text?
Which feature highlights the performance of Apache Spark according to the text?
Which feature highlights the performance of Apache Spark according to the text?
What is the consumption time comparison between Hadoop and Spark according to the given data?
What is the consumption time comparison between Hadoop and Spark according to the given data?
Which type of analysis can be performed using Apache Spark?
Which type of analysis can be performed using Apache Spark?
What is the main advantage of Apache Spark's lightweight core code?
What is the main advantage of Apache Spark's lightweight core code?
What are the application scenarios mentioned for Apache Spark in the text?
What are the application scenarios mentioned for Apache Spark in the text?
What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?
What is the basic abstraction of Spark representing an unchanging set of elements partitioned across cluster nodes, allowing parallel computation?
Which API in Apache Spark is known for its performance optimization and convenience of RDDs?
Which API in Apache Spark is known for its performance optimization and convenience of RDDs?
In which languages is the strongly typed API of the Dataset API available in Apache Spark?
In which languages is the strongly typed API of the Dataset API available in Apache Spark?
What does the Spark Core represent in the Spark platform?
What does the Spark Core represent in the Spark platform?
What are the main components integrated by Apache Spark?
What are the main components integrated by Apache Spark?
What is the advantage of RDDs in Apache Spark related to data stability?
What is the advantage of RDDs in Apache Spark related to data stability?
Which big data computing engine is described as fast, versatile, and scalable in the text?
Which big data computing engine is described as fast, versatile, and scalable in the text?
Which scenario can streaming processing be used for according to the text?
Which scenario can streaming processing be used for according to the text?
What is a Spark DataFrame?
What is a Spark DataFrame?
What is the consumption time comparison between Hadoop and Spark according to the given data?
What is the consumption time comparison between Hadoop and Spark according to the given data?
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