Print Exit Print Mode About the exam Dear Participant, Greetings! You have completed the "Final Exam" exam. At this juncture, it is important for you to understand your strengths and focus on them to achieve the best results. We present here a snapshot of your performance in "Final Exam" exam in terms of marks scored by you in each section, question-wise response pattern and difficulty-wise analysis of your performance. This Report consists of the following sections that can be accessed using the left navigation panel: Overall Performance: This part of report shows the summary of marks scored by you across all sections of the exam and the comparison of your performance across all sections. Section-wise Performance: You can click on a section name in the left navigation panel to check your performance in that section. Section-wise performance includes the details of your response at each question level and difficulty-wise analysis of your performance for that section. NOTE : For Short Answer, Subjective, Typing and Programing Type Questions participant will not be able to view Bar Chart Report in the Performance Analysis. Subject Questions Attempted Correct Score Final 40/99 31 31 Final, 100%FinalMarks Obtained Subject Wise NOTE : Subject having negative marks are not considered in the pie chart. Pie chart will not be shown if all the subject contains 0 marks. Final The Final section comprises of a total of 99 questions with the following difficulty level
Transcript
Print Exit Print Mode
About the exam
Dear Participant,
Greetings!You have completed the "Final Exam" exam.At this juncture, it is important for you to understand your strengths and focus on them to achieve the best results.We present here a snapshot of your performance in "Final Exam" exam in terms of marks scored by you in each section, question-wise response pattern and difficulty-wise analysis ofyour performance.
This Report consists of the following sections that can be accessed using the left navigation panel:
Overall Performance: This part of report shows the summary of marks scored by you across all sections of the exam and the comparison of your performance across all sections.
Section-wise Performance: You can click on a section name in the left navigation panel to check your performance in that section. Section-wise performance includes the details of your response at each question level and difficulty-wise analysis of your performance for that section.
NOTE : For Short Answer, Subjective, Typing and Programing Type Questions participant willnot be able to view Bar Chart Report in the Performance Analysis.
Subject Questions Attempted Correct Score
Final 40/99 31 31
Final, 100%FinalMarks Obtained Subject Wise NOTE : Subject having negative marks are not considered in the pie chart. Pie chart
will not be shown if all the subject contains 0 marks.
FinalThe Final section comprises of a total of 99 questions with the following difficulty level
distribution: -
Difficulty Level No. of questions
Easy 0
Moderate 99
Hard 0
Question wise details
Please click on question to view detailed analysis
= Not Evaluated = Evaluated = Correct = Incorrect = Not Attempted = Marked For Review = Correct Option = Your Option
Question Details
Q1.Key/Value is considered as hadoop format.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : TrueOption 2 : False
Q2.What kind of servers are used for creating a hadoop cluster?
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : Server grade machines.Option 2 : Commodity hardware.Option 3 : Only supercomputersOption 4 : None of the above.
Q3.Hadoop was developed by:
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : Doug CuttingOption 2 : Lars GeorgeOption 3 : Tom WhiteOption 4 : Eric Sammer
Q4.One of the features of hadoop is you can achieve parallelism.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : FalseOption 2 : True
Q5.Hadoop can only work with structured data.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : FalseOption 2 : True
Q6.Hadoop cluster can scale out:
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 2Option 1 : By upgrading existing serversOption 2 : By increasing the area of the cluster.Option 3 : By downgrading existing serversOption 4 : By adding more hardware
Q7.Hadoop can solve only use cases involving data from Social media.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : 1Option 2 : False
Q8.Hadoop can be utilized for demographic analysis.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : TrueOption 2 : False
Q9.Hadoop is inspired from which file system.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : AFSOption 2 : GFSOption 3 : MPPOption 4 : None of the above.
Q10.For Apache Hadoop one needs licensing before leveraging it.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : TrueOption 2 : False
Q11.HDFS runs in the same namespace as that of local filesystem.
Response :Option 1 : It deletes files from one file system to another.Option 2 : It copies files from one file system to anotherOption 3 : It puts configuration parameters in configuration files
Option 4 : None of the above.
Q19.Each directory or file has three kinds of permissions:
Q42.BDA can be applicable to gain knowledge on user behaviour, prevents customer churn in Media and Telecommunications Industry.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q43.What is the correct sequence of Big Data Analytics stages?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Big Data Production > Big Data Consumption > Big Data ManagementOption 2 : Big Data Management > Big Data Production > Big Data ConsumptionOption 3 : Big Data Production > Big Data Management > Big Data ConsumptionOption 4 : None of these
Q44.Big Data Consumption involves:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : MiningOption 2 : AnalyticOption 3 : Search and EnrichmentOption 4 : All of the above
Q45.Big Data Integration and Data Mining are the phases of Big Data Management.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 1Option 1 : TrueOption 2 : False
Q46.RDBMS, Social Media data, Sensor data are the possible input sources to a big data environment.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : TrueOption 2 : False
Q47.For which of the following type of data it is not possible to store in big data environment and then process/parse it?
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 4Option 1 : XML/JSON type of dataOption 2 : RDBMSOption 3 : Semi-structured dataOption 4 : None of the above
Q48.Software framework for writing applications that parallely process vast amounts of data is known as:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Map-reduceOption 2 : HiveOption 3 : ImpalaOption 4 : None of the above
Q49.In proper flow of the map-reduce, reducer will always be executed after mapper.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : TrueOption 2 : False
Q50.Which of the following are the features of Map-reduce?
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 4Option 1 : Automatic parallelization and distributionOption 2 : Fault-ToleranceOption 3 : Platform independentOption 4 : All of the above
Q51.Where does the intermediate output of mapper gets written to?
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 4Option 1 : Local disk of node where it is executed.Option 2 : HDFS of node where it is executed.Option 3 : On a remote server outside the cluster.Option 4 : Mapper output gets written to the local disk of Name node machine.
Q52.Reducer is required in map-reduce job for:
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : It combines all the intermediate data collected from mappers.Option 2 : It reduces the amount of data by half of what is supplied to it.Option 3 : Both a and bOption 4 : None of the above
Q53.Output of every map is passed to which component.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : PartitionerOption 2 : CombinerOption 3 : MapperOption 4 : None of the above
Q54.Data Locality concept is used for:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Localizing dataOption 2 : Avoiding network traffic in hadoop systemOption 3 : Both A and BOption 4 : None of the above
Q55.No of files in the output of map reduce job depends on:
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : No of reducer used for the processOption 2 : Size of the dataOption 3 : Both A and BOption 4 : None of the above
Q56.Input format of the map-reduce job is specified in which class?
Q59.Maximum three reducers can run at any time in a MapReduce Job.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : TrueOption 2 : False
Q60.Functionality of the Jobtracker is to:
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : Coordinate the job runOption 2 : Sorting the outputOption 3 : Both A and BOption 4 : None of the above
Q61.The submit() method on Job creates an internal JobSummitter instance and calls _____ on it.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : jobSubmitInternal()Option 2 : internalJobSubmit()Option 3 : submitJobInternal()Option 4 : None of these
Q62.Which method polls the job's progress and after how many seconds?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : WaitForCompletion() and after each secondOption 2 : WaitForCompletion() after every 15 secondsOption 3 : Not possible to pollOption 4 : None of the above
Q63.Job Submitter tells the task tracker that the job is ready for execution.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q64.Hadoop 1.0 runs 3 instances of job tracker for parallel execution on hadoopcluster.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : Flase
Q65.Map and Reduce tasks are created in job initialization phase.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q66.Based on heartbeats received after how many seconds does it help the job tracker to decide regarding health of task tracker?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : After every 3 secondsOption 2 : After every 1 secondOption 3 : After every 60 secondsOption 4 : None of the above
Q67.Task tracker has assigned fixed number of slots for map and reduce tasks.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q68.To improve the performance of the map-reduce task jar that contains map-reduce code is pushed to each slave node over HTTP.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q69.Map-reduce can take which type of format as input?
Q70.Input files can be located at hdfs or local system for map-reduce.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 2Option 1 : TrueOption 2 : False
Q71.Is there any default InputFormat for input files in map-reduce process?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : KeyValueInputFormatOption 2 : TextInputFormat.Option 3 : A and BOption 4 : None of these
Q72.An InputFormat is a class that provides the following functionality:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Selects the files or other objects that should be used for inputOption 2 : Defines the InputSplits that break a file into tasksOption 3 : Provides a factory for RecordReader objects that read the fileOption 4 : All of the above
Q73.An InputSplit describes a unit of work that comprises a ____ map task in a MapReduce program.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : OneOption 2 : TwoOption 3 : ThreeOption 4 : None of these
Q74.The FileInputFormat and its descendants break a file up into ____MB chunks.
Q75.What allows several map tasks to operate on a single file in parallel?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Processing of a file in chunksOption 2 : Configuration file propertiesOption 3 : Both A and BOption 4 : None of the above
Q76.The Record Reader is invoked ________ on the input until the entire InputSplit has been consumed.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 3Option 1 : OnceOption 2 : TwiceOption 3 : RepeatedlyOption 4 : None of these
Q77.Which of the following is KeyValueTextInputFormat?
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : Key is separated from the value by TabOption 2 : Data is specified in binary sequenceOption 3 : Both A and BOption 4 : None of the above
Q78.In map-reduce programming model mappers can communicate with each other is:
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 1Option 1 : TrueOption 2 : False
Q79.User can define own partitioner class.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q80.The Output Format class is a factory for RecordWriter objects; these are used to write the individual records to the files as directed by the OutputFormat is:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q81.Which of the following are part of Hadoop ecosystem.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Talend,MapR,NFSOption 2 : Mysql,ShellOption 3 : Pig,Hive,HbaseOption 4 : None of the above
Q82.Default Metostore location for Hive is:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : MysqlOption 2 : DerbyOption 3 : PostgreSQLOption 4 : None of the above
Q83.Extend the following class to write a User Defined Function in Hive.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : HiveMapperOption 2 : EvalOption 3 : UDFOption 4 : None of the above
Q84.Which component of hadoop ecosystem supports updation?
Q99.Mrv1 programs cannot be run on top of clusters configured for Mrv2.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
WgIMarks Obtained Subject WiseFinalWgI
Print Exit Print Mode
About the exam
Dear Participant,
Greetings!You have completed the "Final Exam" exam.At this juncture, it is important for you to understand your strengths and focus on them to achieve the best results.We present here a snapshot of your performance in "Final Exam" exam in terms of marks
scored by you in each section, question-wise response pattern and difficulty-wise analysis ofyour performance.
This Report consists of the following sections that can be accessed using the left navigation panel:
Overall Performance: This part of report shows the summary of marks scored by you across all sections of the exam and the comparison of your performance across all sections.
Section-wise Performance: You can click on a section name in the left navigation panel to check your performance in that section. Section-wise performance includes the details of your response at each question level and difficulty-wise analysis of your performance for that section.
NOTE : For Short Answer, Subjective, Typing and Programing Type Questions participant willnot be able to view Bar Chart Report in the Performance Analysis.
Subject Questions Attempted Correct Score
Final 40/99 17 17
Final, 100%FinalMarks Obtained Subject Wise NOTE : Subject having negative marks are not considered in the pie chart. Pie chart
will not be shown if all the subject contains 0 marks.
FinalThe Final section comprises of a total of 99 questions with the following difficulty level distribution: -
Difficulty Level No. of questions
Easy 0
Moderate 99
Hard 0
Question wise details
Please click on question to view detailed analysis
= Not Evaluated = Evaluated
= Correct = Incorrect = Not Attempted = Marked For Review = Correct Option = Your Option
Question Details
Q1.Key/Value is considered as hadoop format.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : TrueOption 2 : False
Q2.What kind of servers are used for creating a hadoop cluster?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Server grade machines.Option 2 : Commodity hardware.Option 3 : Only supercomputersOption 4 : None of the above.
Q3.Hadoop was developed by:
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : Doug CuttingOption 2 : Lars GeorgeOption 3 : Tom WhiteOption 4 : Eric Sammer
Q4.One of the features of hadoop is you can achieve parallelism.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : FalseOption 2 : True
Q5.Hadoop can only work with structured data.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : FalseOption 2 : True
Q6.Hadoop cluster can scale out:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : By upgrading existing servers
Option 2 : By increasing the area of the cluster.Option 3 : By downgrading existing serversOption 4 : By adding more hardware
Q7.Hadoop can solve only use cases involving data from Social media.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : 1Option 2 : False
Q8.Hadoop can be utilized for demographic analysis.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q9.Hadoop is inspired from which file system.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 3Option 1 : AFSOption 2 : GFSOption 3 : MPPOption 4 : None of the above.
Q10.For Apache Hadoop one needs licensing before leveraging it.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q11.HDFS runs in the same namespace as that of local filesystem.
Response :Option 1 : It deletes files from one file system to another.Option 2 : It copies files from one file system to anotherOption 3 : It puts configuration parameters in configuration filesOption 4 : None of the above.
Q19.Each directory or file has three kinds of permissions:
Q42.BDA can be applicable to gain knowledge on user behaviour, prevents customer churn in Media and Telecommunications Industry.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q43.What is the correct sequence of Big Data Analytics stages?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Big Data Production > Big Data Consumption > Big Data ManagementOption 2 : Big Data Management > Big Data Production > Big Data ConsumptionOption 3 : Big Data Production > Big Data Management > Big Data ConsumptionOption 4 : None of these
Q44.Big Data Consumption involves:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : MiningOption 2 : AnalyticOption 3 : Search and EnrichmentOption 4 : All of the above
Q45.Big Data Integration and Data Mining are the phases of Big Data Management.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q46.RDBMS, Social Media data, Sensor data are the possible input sources to a big data environment.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q47.For which of the following type of data it is not possible to store in big data environment and then process/parse it?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : XML/JSON type of dataOption 2 : RDBMSOption 3 : Semi-structured dataOption 4 : None of the above
Q48.Software framework for writing applications that parallely process vast amounts of data is known as:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :
Option 1 : Map-reduceOption 2 : HiveOption 3 : ImpalaOption 4 : None of the above
Q49.In proper flow of the map-reduce, reducer will always be executed after mapper.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q50.Which of the following are the features of Map-reduce?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Automatic parallelization and distributionOption 2 : Fault-ToleranceOption 3 : Platform independentOption 4 : All of the above
Q51.Where does the intermediate output of mapper gets written to?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Local disk of node where it is executed.Option 2 : HDFS of node where it is executed.Option 3 : On a remote server outside the cluster.Option 4 : Mapper output gets written to the local disk of Name node machine.
Q52.Reducer is required in map-reduce job for:
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 3Option 1 : It combines all the intermediate data collected from mappers.Option 2 : It reduces the amount of data by half of what is supplied to it.Option 3 : Both a and bOption 4 : None of the above
Q53.Output of every map is passed to which component.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 3Option 1 : PartitionerOption 2 : CombinerOption 3 : MapperOption 4 : None of the above
Q54.Data Locality concept is used for:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Localizing dataOption 2 : Avoiding network traffic in hadoop systemOption 3 : Both A and BOption 4 : None of the above
Q55.No of files in the output of map reduce job depends on:
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 3Option 1 : No of reducer used for the processOption 2 : Size of the dataOption 3 : Both A and BOption 4 : None of the above
Q56.Input format of the map-reduce job is specified in which class?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Combiner classOption 2 : Reducer classOption 3 : Mapper classOption 4 : Any of the above
Q57.The intermediate keys, and their value lists, are passed to the Reducer in sorted key order.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q58.In which stage of the map-reduce job data is transferred between mapper and reducer?
Q59.Maximum three reducers can run at any time in a MapReduce Job.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 1Option 1 : TrueOption 2 : False
Q60.Functionality of the Jobtracker is to:
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 3Option 1 : Coordinate the job runOption 2 : Sorting the outputOption 3 : Both A and BOption 4 : None of the above
Q61.The submit() method on Job creates an internal JobSummitter instance and calls _____ on it.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : jobSubmitInternal()Option 2 : internalJobSubmit()Option 3 : submitJobInternal()Option 4 : None of these
Q62.Which method polls the job's progress and after how many seconds?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : WaitForCompletion() and after each secondOption 2 : WaitForCompletion() after every 15 secondsOption 3 : Not possible to pollOption 4 : None of the above
Q63.Job Submitter tells the task tracker that the job is ready for execution.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 1Option 1 : TrueOption 2 : False
Q64.Hadoop 1.0 runs 3 instances of job tracker for parallel execution on hadoopcluster.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 1Option 1 : True
Option 2 : Flase
Q65.Map and Reduce tasks are created in job initialization phase.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 2Option 1 : TrueOption 2 : False
Q66.Based on heartbeats received after how many seconds does it help the job tracker to decide regarding health of task tracker?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : After every 3 secondsOption 2 : After every 1 secondOption 3 : After every 60 secondsOption 4 : None of the above
Q67.Task tracker has assigned fixed number of slots for map and reduce tasks.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 1Option 1 : TrueOption 2 : False
Q68.To improve the performance of the map-reduce task jar that contains map-reduce code is pushed to each slave node over HTTP.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q69.Map-reduce can take which type of format as input?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TextOption 2 : CSVOption 3 : ArbitraryOption 4 : None of these
Q70.Input files can be located at hdfs or local system for map-reduce.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : TrueOption 2 : False
Q71.Is there any default InputFormat for input files in map-reduce process?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : KeyValueInputFormatOption 2 : TextInputFormat.Option 3 : A and BOption 4 : None of these
Q72.An InputFormat is a class that provides the following functionality:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Selects the files or other objects that should be used for inputOption 2 : Defines the InputSplits that break a file into tasksOption 3 : Provides a factory for RecordReader objects that read the fileOption 4 : All of the above
Q73.An InputSplit describes a unit of work that comprises a ____ map task in a MapReduce program.
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : OneOption 2 : TwoOption 3 : ThreeOption 4 : None of these
Q74.The FileInputFormat and its descendants break a file up into ____MB chunks.
Q75.What allows several map tasks to operate on a single file in parallel?
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : Processing of a file in chunksOption 2 : Configuration file propertiesOption 3 : Both A and BOption 4 : None of the above
Q76.The Record Reader is invoked ________ on the input until the entire InputSplit has been consumed.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 3Option 1 : OnceOption 2 : TwiceOption 3 : RepeatedlyOption 4 : None of these
Q77.Which of the following is KeyValueTextInputFormat?
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 3Option 1 : Key is separated from the value by TabOption 2 : Data is specified in binary sequenceOption 3 : Both A and BOption 4 : None of the above
Q78.In map-reduce programming model mappers can communicate with each other is:
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 2Option 1 : TrueOption 2 : False
Q79.User can define own partitioner class.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 2Option 1 : TrueOption 2 : False
Q80.The Output Format class is a factory for RecordWriter objects; these are used to write the individual records to the files as directed by the OutputFormat is:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :
Option 1 : TrueOption 2 : False
Q81.Which of the following are part of Hadoop ecosystem.
Difficulty Level : Moderate
Status : Correct
Marks Obtained : 1
Response : 3Option 1 : Talend,MapR,NFSOption 2 : Mysql,ShellOption 3 : Pig,Hive,HbaseOption 4 : None of the above
Q82.Default Metostore location for Hive is:
Difficulty Level : Moderate
Status : Unanswered
Marks Obtained : 0
Response :Option 1 : MysqlOption 2 : DerbyOption 3 : PostgreSQLOption 4 : None of the above
Q83.Extend the following class to write a User Defined Function in Hive.
Difficulty Level : Moderate
Status : Incorrect
Marks Obtained : 0
Response : 1Option 1 : HiveMapperOption 2 : EvalOption 3 : UDFOption 4 : None of the above
Q84.Which component of hadoop ecosystem supports updation?
