Q31
Q31 What action should you take if you notice that the HDFS capacity is unexpectedly decreasing?
Check for under-replicated blocks
Increase the block size
Decrease the replication factor
Add more DataNodes
Q32
Q32 Which operation is NOT a typical function of the Reduce phase in MapReduce?
Summation of values
Sorting the map output
Merging records with the same key
Filtering records based on a condition
Q33
Q33 How does the MapReduce framework typically divide the processing of data?
Data is processed by key
Data is divided into rows
Data is split into blocks, which are processed in parallel
Data is processed serially
Q34
Q34 What is the role of the Combiner function in a MapReduce job?
To manage the job execution
To reduce the amount of data transferred between the Map and Reduce tasks
To finalize the output data
To distribute tasks across nodes
Q35
Q35 In which scenario would you configure multiple reducers in a MapReduce job?
When there is a need to process data faster
When the data is too large for a single reducer
When output needs to be partitioned across multiple files
All of the above
Q36
Q36 What determines the number of mappers to be run in a MapReduce job?
The size of the input data
The number of nodes in the cluster
The data processing speed required
The configuration of the Hadoop cluster
Q37
Q37 What happens if a mapper fails during the execution of a MapReduce job?
The job restarts from the beginning
Only the failed mapper tasks are retried
The entire map phase is restarted
The job is aborted
Q38
Q38 Which MapReduce method is called once at the end of the task?
map()
reduce()
cleanup()
setup()
Q39
Q39 How do you specify the number of reduce tasks for a Hadoop job?
Set the mapred.reduce.tasks parameter in the job configuration
Increase the number of nodes
Use more mappers
Manually partition the data
Q40
Q40 What is the purpose of the Partitioner class in MapReduce?
To decide the storage location of data blocks
To divide the data into blocks for mapping
To control the sorting of data
To control which key-value pairs go to which reducer
Q41
Q41 What does the WritableComparable interface in Hadoop define?
Data types that can be compared and written in Hadoop
Methods for data compression
Protocols for data transfer
Security features for data access
Q42
Q42 What common issue should be checked first when a MapReduce job is running slower than expected?
Incorrect data formats
Inadequate memory allocation
Insufficient reducer tasks
Network connectivity issues
Q43
Q43 What is an effective way to resolve data skew during the reduce phase of a MapReduce job?
Adjusting the number of reducers
Using a combiner
Repartitioning the data
Optimizing the partitioner function
Q44
Q44 What is the primary function of the Resource Manager in YARN?
Managing cluster resources
Scheduling jobs
Monitoring job performance
Handling job queues
Q45
Q45 How does YARN improve the scalability of Hadoop?
By separating job management and resource management
By increasing the storage capacity of HDFS
By optimizing the MapReduce algorithms
By enhancing data security
Q46
Q46 What role does the NodeManager play in a YARN cluster?
It manages the user interface
It coordinates the DataNodes
It manages the resources on a single node
It schedules the reducers
Q47
Q47 Which YARN component is responsible for monitoring the health of the cluster nodes?
ResourceManager
NodeManager
ApplicationMaster
DataNode
Q48
Q48 In YARN, what does the ApplicationMaster do?
Manages the lifecycle of an application
Handles data storage on HDFS
Configures nodes for the ResourceManager
Operates the cluster's security protocols
Q49
Q49 How does YARN handle the failure of an ApplicationMaster?
It pauses all related jobs until the issue is resolved
It automatically restarts the ApplicationMaster
It reassigns the tasks to another master
It shuts down the failed node
Q50
Q50 Which command is used to list all running applications in YARN?
yarn application -list
yarn app -status
yarn service -list
yarn jobs -show
Q51
Q51 How can you kill an application in YARN using the command line?
yarn application -kill
yarn app -terminate
yarn job -stop
yarn application -stop
Q52
Q52 What command would you use to check the logs for a specific YARN application?
yarn logs -applicationId
yarn app -logs
yarn -viewlogs
yarn application -showlogs
Q53
Q53 What should be your first step if a YARN application fails to start?
Check the application logs for errors
Restart the ResourceManager
Increase the memory limits for the application
Reconfigure the NodeManagers
Q54
Q54 If you notice that applications in YARN are frequently being killed due to insufficient memory, what should you adjust?
Increase the container memory settings in YARN
Upgrade the physical memory on nodes
Reduce the number of applications running simultaneously
Optimize the application code
Q55
Q55 What is Hive primarily used for in the Hadoop ecosystem?
Data warehousing operations
Real-time analytics
Stream processing
Machine learning
Q56
Q56 Which tool in the Hadoop ecosystem is best suited for real-time data processing?
Hive
Pig
HBase
Storm
Q57
Q57 How does Pig differ from SQL in terms of data processing?
Pig processes data in a procedural manner, while SQL is declarative
Pig is static, while SQL is dynamic
Pig supports structured data only, while SQL supports unstructured data
Pig runs on top of Hadoop only, while SQL runs on traditional RDBMS
Q58
Q58 What is the primary function of Apache Flume?
Data serialization
Data ingestion into Hadoop
Data visualization
Data archiving
Q59
Q59 In the Hadoop ecosystem, what is the role of Oozie?
Job scheduling
Data replication
Cluster management
Security enforcement
Q60
Q60 How does HBase provide fast access to large datasets?
By using a column-oriented storage format
By employing a row-oriented storage format
By using traditional indexing methods
By replicating data across multiple nodes
