What is the primary role of a "Data Node" in the Hadoop Distributed File System (HDFS)?
A. Storing metadata
B. Managing job scheduling
C. Storing and managing data blocks
D. Managing data visualization
Which Apache project provides a distributed, scalable, and highly available database for big data storage and processing?
A. Apache Kafka
B. Apache HBase
C. Apache Spark
D. Apache Hive
What does the term "data locality" refer to in the context of Hadoop and distributed computing?
A. The proximity of data to the data center
B. The speed at which data is transmitted
C. The distribution of data across clusters
D. The retrieval of data from a remote source
In a Hadoop ecosystem, which component is responsible for resource management and job scheduling in a cluster?
A. Hadoop Distributed File System (HDFS)
B. YARN (Yet Another Resource Negotiator)
C. MapReduce
D. HBase
What is the primary benefit of using a data warehouse in big data analytics?
A. Real-time data processing
B. Centralized storage for structured data
C. Streamlining data variety and velocity
D. Handling unstructured data
Which distributed computing framework is commonly used for querying and managing large datasets in a distributed environment using a SQL-like language?
A. Apache Kafka
B. Apache HBase
C. Apache Spark
D. Apache Hive
What is the primary advantage of using distributed computing for big data processing compared to traditional single-node systems?
A. Lower cost of hardware
B. Simplicity of programming
C. Scalability and faster processing
D. Reduced data variety
Which component of the Hadoop ecosystem is responsible for managing and scheduling jobs in a Hadoop cluster?
A. Hadoop Distributed File System (HDFS)
B. YARN (Yet Another Resource Negotiator)
C. MapReduce
D. HBase
What is the primary challenge in managing and analyzing unstructured data in big data environments?
A. Data scalability
B. Data volume
C. Data variety
D. Data velocity
In distributed computing, what does the term "MapReduce" refer to?
A. A data visualization tool
B. A programming model for parallel processing
C. A data storage system
D. A real-time data processing framework
Which technology is commonly used for distributed data processing and can handle both batch and stream data processing?
A. Apache Kafka
B. Apache HBase
C. Apache Spark
D. Apache Hive
What is the primary advantage of using distributed computing frameworks like Hadoop and Spark for big data processing?
A. Reduced data volume
B. Scalability and parallel processing capabilities
C. Simplicity of programming
D. Real-time data processing
Which distributed computing framework is known for its in-memory processing capabilities and is often used for iterative machine learning algorithms?
A. Apache Kafka
B. Apache HBase
C. Apache Spark
D. Apache Hive
What is the main goal of data partitioning in distributed computing?
A. To increase data complexity
B. To simplify data storage and retrieval
C. To maximize data storage capacity
D. To distribute data across multiple nodes
Which technology is commonly used for real-time stream processing of big data and is part of the Apache ecosystem?
A. Apache Kafka
B. Apache HBase
C. Apache Spark
D. Apache Hive
What is the primary characteristic of "big data"?
A. Small volume of data
B. High velocity of data
C. Variety of data sources
D. Low complexity of data
In the context of big data, what does the "3Vs" represent?
A. Velocity, Value, Variability
B. Volume, Variety, Velocity
C. Volume, Value, Variety
D. Velocity, Veracity, Variety
Which programming framework is commonly used for processing large-scale data in a distributed computing environment?
A. Java
B. Python
C. Hadoop
D. SQL
What is the main purpose of the Hadoop Distributed File System (HDFS) in a Hadoop ecosystem?
A. Real-time data processing
B. Data storage and retrieval
C. Data visualization
D. Data encryption
In distributed computing, what is the term for a group of computers connected over a network that work together to solve a problem or perform a task?
A. Hadoop Cluster
B. Data Center
C. Distributed System
D. Supercomputer Cluster
