Q91
Q91 What mechanism does HBase use to ensure data availability and fault tolerance?
Data replication across multiple nodes
Writing data to multiple disk systems simultaneously
Automatic data backups
Checksum validations
Q92
Q92 How does HBase perform read and write operations so quickly, particularly on large datasets?
By using RAM for initial storage of data
By employing advanced indexing techniques
By compressing data before storage
By using SSDs exclusively
Q93
Q93 In what way does HBase's architecture differ from traditional relational databases when it comes to data modeling?
HBase does not support joins natively and relies on denormalized data models
HBase uses SQL for data manipulation
HBase structures data into tables, rows, and fixed columns
HBase requires data to be structured as cubes
Q94
Q94 What is the command to delete a column from an HBase table?
DELETE 'table_name', 'column_name'
DROP COLUMN 'column_name' FROM 'table_name'
ALTER 'table_name', DELETE 'column_name'
ALTER TABLE 'table_name' DROP 'column_name'
Q95
Q95 How do you increase the number of versions of cells stored in an HBase column family?
ALTER 'table_name', SET 'column_family', VERSIONS => number
SET 'table_name': 'column_family', VERSIONS => number
MODIFY 'table_name', 'column_family', SET VERSIONS => number
UPDATE 'table_name' SET 'column_family' VERSIONS = number
Q96
Q96 What HBase shell command is used to compact a table to improve performance by rewriting and merging smaller files?
COMPACT 'table_name'
MERGE 'table_name'
OPTIMIZE 'table_name'
REDUCE 'table_name'
Q97
Q97 How can you create a snapshot of an HBase table for backup purposes?
SNAPSHOT 'table_name', 'snapshot_name'
BACKUP TABLE 'table_name' AS 'snapshot_name'
EXPORT 'table_name', 'snapshot_name'
SAVE 'table_name' AS 'snapshot_name'
Q98
Q98 What should be checked first if you encounter slow read speeds in HBase?
The configuration of the RegionServer
The health of Zookeeper nodes
The compaction settings of the table
The network configuration between clients and servers
Q99
Q99 When an HBase region server crashes, what recovery process should be checked to ensure it is functioning correctly?
The recovery of write-ahead logs
The rebalancing of the cluster
The replication of data to other nodes
The flushing of data from RAM to disk
Q100
Q100 What is Sqoop primarily used for?
Importing data from relational databases into Hadoop
Exporting data from Hadoop to relational databases
Real-time data processing
Stream processing
Q101
Q101 How does Flume handle data flow from source to destination?
By using a direct connection method
By using a series of events and channels
By creating temporary storage in HDFS
By compressing data into batches
Q102
Q102 What is the primary benefit of using Sqoop for data transfer between Hadoop and relational databases?
Minimizing the need for manual coding
Reducing the data transfer speed
Eliminating the need for a database
Maximizing data security
Q103
Q103 What kind of data can Flume collect and transport?
Only structured data
Only unstructured data
Both structured and unstructured data
Only semi-structured data
Q104
Q104 How do Sqoop and Flume complement each other in a big data ecosystem?
Sqoop handles batch data imports while Flume handles real-time data flow
Flume handles data imports while Sqoop handles data processing
Both are used for real-time processing
Both are used for batch data processing
Q105
Q105 Which Sqoop command is used to import data from a relational database to HDFS?
sqoop import --connect
sqoop load --connect
sqoop fetch --connect
sqoop transfer --connect
Q106
Q106 How do you specify a target directory in HDFS when importing data using Sqoop?
--target-dir /path/to/dir
--output-dir /path/to/dir
--dest-dir /path/to/dir
--hdfs-dir /path/to/dir
Q107
Q107 What is the command to export data from HDFS to a relational database using Sqoop?
sqoop export --connect
sqoop send --connect
sqoop out --connect
sqoop transfer --connect
Q108
Q108 What should be the first check if a Sqoop import operation fails to start?
The database connection settings
The Hadoop cluster status
The syntax of the Sqoop command
The version of Sqoop
Q109
Q109 When experiencing data inconsistency issues after a Flume event transfer, what should be checked first?
The configuration of source and sink channels
The network connectivity
The data serialization format
The agent configuration
Q110
Q110 What is the first step in setting up a Hadoop cluster?
Installing Hadoop on a single node
Configuring HDFS properties
Setting up the network configuration
Installing Java on all nodes
Q111
Q111 What role does the NameNode play in a Hadoop cluster?
It stores actual data blocks
It manages the file system namespace and controls access to files
It performs data processing
It manages resource allocation across the cluster
Q112
Q112 Which configuration file in Hadoop is used to specify the replication factor for HDFS?
core-site.xml
hdfs-site.xml
mapred-site.xml
yarn-site.xml
Q113
Q113 How can you ensure high availability of the NameNode in a Hadoop cluster?
By using a secondary NameNode
By configuring a standby NameNode
By increasing the memory of the NameNode
By replicating the NameNode data on all DataNodes
Q114
Q114 How do you start all Hadoop daemons at once?
start-all.sh
start-dfs.sh && start-yarn.sh
run-all.sh
launch-hadoop.sh
Q115
Q115 What command is used to check the status of all nodes in a Hadoop cluster?
hdfs dfsadmin -report
yarn node -status
hadoop checknode -status
mapred liststatus
Q116
Q116 How do you manually rebalance the Hadoop filesystem to ensure even data distribution across the cluster?
hdfs balancer
hdfs dfs -rebalance
hdfs fsck -rebalance
hadoop dfs -balance
Q117
Q117 What common issue should be checked if a DataNode is not communicating with the NameNode?
Network issues
Disk failure
Incorrect NameNode address in configuration
All of these
Q118
Q118 What should you do if the Hadoop cluster is running slowly after adding new nodes?
Check the configuration of new nodes
Rebalance the cluster
Increase the heap size of NameNode
All of these
Q119
Q119 What is the primary purpose of Kerberos in Hadoop security?
To encrypt data stored on HDFS
To manage user authentication and authorization
To audit data access
To ensure data integrity during transmission
Q120
Q120 How does encryption at rest differ from encryption in transit within the context of Hadoop security?
Encryption at rest secures stored data, whereas encryption in transit secures data being transferred
Encryption at rest uses AES, while in transit uses TLS
Encryption at rest is optional, whereas in transit is mandatory
Encryption at rest is managed by HDFS, whereas in transit by YARN
