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Questions and Answers
What is the main purpose of Hadoop?
What is the main purpose of Hadoop?
Which component of Hadoop is responsible for storing the data in a distributed manner?
Which component of Hadoop is responsible for storing the data in a distributed manner?
What is the role of the Master node in Hadoop's architecture?
What is the role of the Master node in Hadoop's architecture?
What is the primary function of the NameNode in Hadoop Distributed File System?
What is the primary function of the NameNode in Hadoop Distributed File System?
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What characteristic makes HDFS known as the world's most reliable storage system?
What characteristic makes HDFS known as the world's most reliable storage system?
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In Hadoop, how are files internally divided and stored on different slave machines?
In Hadoop, how are files internally divided and stored on different slave machines?
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What is the function of the NameNode in Hadoop?
What is the function of the NameNode in Hadoop?
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What does the Edit log contain in Hadoop?
What does the Edit log contain in Hadoop?
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What is the primary responsibility of DataNodes in Hadoop HDFS?
What is the primary responsibility of DataNodes in Hadoop HDFS?
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Which component of Hadoop provides resource management for the system?
Which component of Hadoop provides resource management for the system?
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In the Hadoop MapReduce process, what is the function of the Map phase?
In the Hadoop MapReduce process, what is the function of the Map phase?
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What type of processing does the Reduce phase handle in Hadoop MapReduce?
What type of processing does the Reduce phase handle in Hadoop MapReduce?
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Which additional module in Hadoop provides a SQL-like query language?
Which additional module in Hadoop provides a SQL-like query language?
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In what scenarios is Hadoop commonly used?
In what scenarios is Hadoop commonly used?
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What does the NameNode do if a DataNode fails in Hadoop?
What does the NameNode do if a DataNode fails in Hadoop?
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What is the primary function of DataNodes in HDFS?
What is the primary function of DataNodes in HDFS?
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Hadoop is a closed-source software framework.
Hadoop is a closed-source software framework.
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HDFS stands for Hadoop Distributed File System.
HDFS stands for Hadoop Distributed File System.
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The file in HDFS gets divided into only one block.
The file in HDFS gets divided into only one block.
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The NameNode in HDFS manages the file system namespace and provides right access permission to the clients.
The NameNode in HDFS manages the file system namespace and provides right access permission to the clients.
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The DataNodes in HDFS store and manage the file system namespace information.
The DataNodes in HDFS store and manage the file system namespace information.
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Each cluster in Hadoop comprises multiple master nodes and a single slave node.
Each cluster in Hadoop comprises multiple master nodes and a single slave node.
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The Fsimage file in Hadoop contains the complete namespace of the Hadoop file system since the NameNode creation.
The Fsimage file in Hadoop contains the complete namespace of the Hadoop file system since the NameNode creation.
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The Edit log in Hadoop contains all the recent changes performed to the file system namespace up to the most recent Fsimage.
The Edit log in Hadoop contains all the recent changes performed to the file system namespace up to the most recent Fsimage.
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NameNode is responsible for managing and maintaining the DataNodes in Hadoop.
NameNode is responsible for managing and maintaining the DataNodes in Hadoop.
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DataNodes in Hadoop are responsible for serving the client read/write requests.
DataNodes in Hadoop are responsible for serving the client read/write requests.
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In Hadoop, MapReduce works by breaking the data processing into three phases: Map, Shuffle, and Reduce.
In Hadoop, MapReduce works by breaking the data processing into three phases: Map, Shuffle, and Reduce.
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Hadoop's Yarn provides resource management for Hadoop with two daemons running: NodeManager on the slave machines and Resource Manager on the master node.
Hadoop's Yarn provides resource management for Hadoop with two daemons running: NodeManager on the slave machines and Resource Manager on the master node.
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Hadoop includes only MapReduce as its main processing engine.
Hadoop includes only MapReduce as its main processing engine.
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Hadoop is commonly used in scenarios such as data warehousing, business intelligence, and machine learning.
Hadoop is commonly used in scenarios such as data warehousing, business intelligence, and machine learning.
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HDFS is known as the world's most reliable storage system due to its cost-effectiveness and high availability.
HDFS is known as the world's most reliable storage system due to its cost-effectiveness and high availability.
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The primary responsibility of DataNodes in HDFS is to determine the mapping of blocks of a file to DataNodes.
The primary responsibility of DataNodes in HDFS is to determine the mapping of blocks of a file to DataNodes.
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Study Notes
Hadoop Overview
- The main purpose of Hadoop is to process and store large datasets in a distributed manner.
Hadoop Distributed File System (HDFS)
- HDFS is responsible for storing data in a distributed manner.
- HDFS is known as the world's most reliable storage system due to its high availability and cost-effectiveness.
- Files in HDFS are internally divided into blocks and stored on different slave machines.
- The primary function of the NameNode is to manage the file system namespace and provide access permissions to clients.
- The NameNode manages the file system namespace, but not the file system namespace information.
- DataNodes store and manage the blocks of a file, not the file system namespace information.
- The primary responsibility of DataNodes in HDFS is to serve client read/write requests.
- If a DataNode fails, the NameNode will redirect the client to another DataNode that has a copy of the block.
Hadoop Architecture
- The Master node is responsible for managing the overall Hadoop system.
- The NameNode is responsible for managing and maintaining the DataNodes.
- Hadoop clusters comprise multiple slave nodes, but only one master node.
Hadoop MapReduce
- MapReduce is the main processing engine in Hadoop.
- The Map phase is responsible for breaking down data processing into smaller tasks.
- The Reduce phase handles aggregation and summarization of data.
- MapReduce works by breaking down data processing into two phases: Map and Reduce.
Hadoop Yarn
- Yarn provides resource management for Hadoop with two daemons: NodeManager on the slave machines and Resource Manager on the master node.
Hadoop Usage
- Hadoop is commonly used in scenarios such as data warehousing, business intelligence, and machine learning.
- Hadoop is an open-source software framework.
Hadoop File System
- The Fsimage file contains the complete namespace of the Hadoop file system since the NameNode creation.
- The Edit log contains all the recent changes performed to the file system namespace up to the most recent Fsimage.
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Description
Test your knowledge about the main components of Hadoop, including HDFS - Hadoop Distributed File System, and its capabilities for storing and processing large amounts of data in a distributed computing environment.
