MCQs on Big Data Concepts

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Questions and Answers

Which of the following is a primary characteristic of Big Data?

  • Validity
  • Variety (correct)
  • Velocity
  • Volume

Which one of the following is a component of Hadoop?

  • MongoDB
  • SQL
  • HDFS
  • YARN (correct)

What is the query language commonly used with Apache Hive for Big Data processing?

  • HiveQL
  • SQL (correct)
  • NoSQL
  • Python

Which of the following accurately describes Hive?

<p>A distributed file system (D)</p> Signup and view all the answers

What is a benefit of using Apache Parquet for storing structured data?

<p>Supports complex data types efficiently (D)</p> Signup and view all the answers

Which feature is NOT typically associated with Apache Hive?

<p>Real-time processing capabilities (B)</p> Signup and view all the answers

What makes Apache HBase a valuable component in the Hadoop ecosystem?

<p>Real-time random read/write access to big data (D)</p> Signup and view all the answers

Which data format is NOT commonly used for storing data in Hadoop?

<p>Protocol Buffers (B)</p> Signup and view all the answers

Which is NOT a characteristic of PySpark?

<p>Real-time processing (B)</p> Signup and view all the answers

Which machine learning task is NOT commonly performed using PySpark?

<p>Genome sequencing (B)</p> Signup and view all the answers

Which is a benefit of using Hive in the Hadoop ecosystem?

<p>High-level SQL-like interface (D)</p> Signup and view all the answers

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Study Notes

Big Data Characteristics

  • One primary characteristic of Big Data is its massive scale and complexity.

Hadoop Components

  • HDFS (Hadoop Distributed File System) is a component of Hadoop.

Apache Hive

  • Hive uses HiveQL (Hive Query Language) for Big Data processing.
  • Hive is a data warehousing and SQL-like query language for Hadoop.
  • A benefit of using Hive in the Hadoop ecosystem is that it provides a way to process and analyze large datasets using familiar SQL-like queries.
  • Hive is NOT typically associated with real-time data processing.

Apache Parquet

  • A benefit of using Apache Parquet for storing structured data is that it provides efficient storage and querying of data.

Hadoop Data Formats

  • AVRO is NOT commonly used for storing data in Hadoop.

Apache HBase

  • Apache HBase is a valuable component in the Hadoop ecosystem because it provides a distributed, column-oriented NoSQL database for storing large amounts of semi-structured and structured data.

PySpark

  • PySpark is NOT characterized by its use for real-time data processing.
  • PySpark is NOT commonly used for machine learning tasks such as decision trees.

Machine Learning Tasks

  • PySpark is commonly used for machine learning tasks such as clustering and regression analysis.

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