NPTEL Big Data Computing Week 1 Assignment Solutions
NPTEL Big Data Computing Week 1 Assignment Answers
1. What are the three key characteristics of Big Data, often referred to as the 3V’s, according to IBM?
- Viscosity, Velocity, Veracity
- Volume, Value, Variety
- Volume, Velocity, Variety
- Volumetric, Visceral, Vortex
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2. What is the primary purpose of the MapReduce programming model in processing and generating large data sets?
- To directly process and analyze data without any intermediate steps.
- To convert unstructured data into structured data.
- To specify a map function for generating intermediate key/value pairs and a reduce function for merging values associated with the same key.
- To create visualizations and graphs for large data sets.
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3. _____ is a distributed, reliable, and available service for efficiently collecting, aggregating, and moving large amounts of log data.
- Flume
- Apache Sqoop
- Pig
- Mahout
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4. What is the primary role of YARN (Yet Another Resource Manager) in the Apache Hadoop ecosystem?
- YARN is a data storage layer for managing and storing large datasets in Hadoop clusters.
- YARN is a programming model for processing and analyzing data in Hadoop clusters.
- YARN is responsible for allocating system resources and scheduling tasks for applications in a Hadoop cluster.
- YARN is a visualization tool for creating graphs and charts based on Hadoop data.
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5. Which of the following statements accurately describes the characteristics and functionality of HDFS (Hadoop Distributed File System)?
- HDFS is a centralized file system designed for storing small files and achieving high-speed data processing.
- HDFS is a programming language used for writing MapReduce applications within the Hadoop ecosystem.
- HDFS is a distributed, scalable, and portable file system designed for storing large files across multiple machines, achieving reliability through replication.
- HDFS is a visualization tool that generates graphs and charts based on data stored in the Hadoop ecosystem.
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6. Which statement accurately describes the role and design of HBase in the Hadoop stack?
- HBase is a programming language used for writing complex data processing algorithms in the Hadoop ecosystem.
- HBase is a data warehousing solution designed for batch processing of large datasets in Hadoop clusters.
- HBase is a key-value store that provides fast random access to substantial datasets, making it suitable for applications requiring such access patterns.
- HBase is a visualization tool that generates charts and graphs based on data stored in Hadoop clusters.
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7. ______ brings scalable parallel database technology to Hadoop and allows users to submit low latencies queries to the data that’s stored within the HDFS or the Hbase without acquiring a ton of data movement and manipulation.
- Apache Sqoop
- Mahout
- Flume
- Impala
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8. What is the primary purpose of ZooKeeper in a distributed system?
- ZooKeeper is a data warehousing solution for storing and managing large datasets in a distributed cluster.
- ZooKeeper is a programming language for developing distributed applications in a cloud environment.
- ZooKeeper is a highly reliable distributed coordination kernel used for tasks such as distributed locking, configuration management, leadership election, and work queues.
- ZooKeeper is a visualization tool for creating graphs and charts based on data stored in distributed systems.
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9. ____ is a distributed file system that stores data on a commodity machine. Providing very high aggregate bandwidth across the entire cluster.
- Hadoop Common
- Hadoop Distributed File System (HDFS)
- Hadoop YARN
- Hadoop MapReduce
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10. Which statement accurately describes Spark MLlib?
- Spark MLlib is a visualization tool for creating charts and graphs based on data processed in Spark clusters.
- Spark MLlib is a programming language used for writing Spark applications in a distributed environment.
- Spark MLlib is a distributed machine learning framework built on top of Spark Core, providing scalable machine learning algorithms and utilities for tasks such as classification, regression, clustering, and collaborative filtering.
- Spark MLlib is a data warehousing solution for storing and querying large datasets in a Spark cluster.
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