Big data_Chapter 6

What is a limitation of MapReduce when processing real-time data?

• It unable to process large data

• It requires significant additional memory resources

• It has high latency due to frequent disk I/O operations

• It cannot handle high-volume data streams

What is a limitation of MapReduce when processing complex data analysis tasks?

• It is unable to process complex data analysis tasks

• It requires significant additional memory resources

• It results in slower execution time

• It requires multiple MapReduce jobs to complete the analysis

Which of the following TRUE about the MapReduce in Hadoop

• Useful in real time processing

• Can process a lot of data that shuffling over the network

• Unsuitable for processing graphs

• Suitable for performing Online transaction

What is Apache Spark?

• A distributed computing framework for big data processing

• A database management system

• A data visualization tool

• A programming language for statistical analysis

Which programming languages are supported by Apache Spark?

• Python, R, and Java

• Python and Ruby

• Java and C++

• All mentioned

What is the main benefit of using Apache Spark over MapReduce?

• It can performing batch processing

• It can handle unstructured data

• It has better fault tolerance

• It has faster execution time

Why does Apache Spark faster execution than MapReduce?

• Because the data store, processed and written in storage

• Because the data store, processed in memory.

• Because it able to handle large volumne of data

• Because it having high technology

Which of the following is a component of Apache Spark?

• Hadoop Distributed File System (HDFS)

• Apache Kafka

• Apache HBase

• Spark SQL

What is the primary function of the Resilient Distributed Dataset (RDD) in Apache Spark?

• To store data in a distributed fashion

• To represent data as a graph

• To perform parallel computations on data

• To generate visualizations of data

Which of the following data sources can Apache Spark process natively?

• Structured Query Language (SQL) databases

• NoSQL databases

• Relational databases

• All of the above