Hadoop LinkedIn assessment answers 2023

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Hadoop LinkedIn assessment answers
Hadoop LinkedIn assessment answers

100% Free Updated Hadoop LinkedIn assessment Certification Exam Questions & Answers.

Hadoop LinkedIn assessment Details:

  • 15 – 20 multiple-choice questions
  • 1.5 minutes per question
  • Score in the top 30% to earn a badge

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Hadoop LinkedIn assessment answers

Q1. Partitioner controls the partitioning of what data?

  • [ ] final keys
  • [ ] final values
  • [x] intermediate keys
  • [ ] intermediate values

Q2. SQL Windowing functions are implemented in Hive using which keywords?

  • [ ] UNION DISTINCT, RANK
  • [x] OVER, RANK
  • [ ] OVER, EXCEPT
  • [ ] UNION DISTINCT, RANK

Q3. Rather than adding a Secondary Sort to a slow Reduce job, it is Hadoop best practice to perform which optimization?

  • [ ] Add a partitioned shuffle to the Map job.
  • [x] Add a partitioned shuffle to the Reduce job.
  • [ ] Break the Reduce job into multiple, chained Reduce jobs.
  • [ ] Break the Reduce job into multiple, chained Map jobs.
  • [ ] encrypted HTTP
  • [ ] unsigned HTTP
  • [ ] compressed HTTP
  • [x] signed HTTP

Q5. MapReduce jobs can be written in which language?

  • [x] Java or Python
  • [ ] SQL only
  • [ ] SQL or Java
  • [ ] Python or SQL

Q6. To perform local aggregation of the intermediate outputs, MapReduce users can optionally specify which object?

  • [ ] Reducer
  • [x] Combiner
  • [ ] Mapper
  • [ ] Counter

Q7. To verify job status, look for the value ___ in the ___.

  • [ ] SUCCEEDED; syslog
  • [x] SUCCEEDED; stdout
  • [ ] DONE; syslog
  • [ ] DONE; stdout

Q8. Which line of code implements a Reducer method in MapReduce 2.0?

  • [x] public void reduce(Text key, Iterator values, Context context){…}
  • [ ] public static void reduce(Text key, IntWritable[] values, Context context){…}
  • [ ] public static void reduce(Text key, Iterator values, Context context){…}
  • [ ] public void reduce(Text key, IntWritable[] values, Context context){…}

Q9. To get the total number of mapped input records in a map job task, you should review the value of which counter?

  • [ ] FileInputFormatCounter
  • [ ] FileSystemCounter
  • [ ] JobCounter
  • [x] TaskCounter (NOT SURE)

Q10. Hadoop Core supports which CAP capabilities?

  • [x] A, P
  • [ ] C, A
  • [ ] C, P
  • [ ] C, A, P

Q11. What are the primary phases of a Reducer?

  • [ ] combine, map, and reduce
  • [x] shuffle, sort, and reduce
  • [ ] reduce, sort, and combine
  • [ ] map, sort, and combine

Q12. To set up Hadoop workflow with synchronization of data between jobs that process tasks both on disk and in memory, use the ___ service, which is ___.

  • [ ] Oozie; open source
  • [ ] Oozie; commercial software
  • [ ] Zookeeper; commercial software
  • [x] Zookeeper; open source

Q13. For high availability, use multiple nodes of which type?

  • [ ] data
  • [x] name
  • [ ] memory
  • [ ] worker

Q14. DataNode supports which type of drives?

  • [x] hot swappable
  • [ ] cold swappable
  • [ ] warm swappable
  • [ ] non-swappable

Q15. Which method is used to implement Spark jobs?

  • [ ] on disk of all workers
  • [ ] on disk of the master node
  • [ ] in memory of the master node
  • [x] in memory of all workers

Q16. In a MapReduce job, where does the map() function run?

  • [ ] on the reducer nodes of the cluster
  • [x] on the data nodes of the cluster (NOT SURE)
  • [ ] on the master node of the cluster
  • [ ] on every node of the cluster

Q17. To reference a master file for lookups during Mapping, what type of cache should be used?

  • [x] distributed cache
  • [ ] local cache
  • [ ] partitioned cache
  • [ ] cluster cache

Q18. Skip bad records provides an option where a certain set of bad input records can be skipped when processing what type of data?

  • [ ] cache inputs
  • [ ] reducer inputs
  • [ ] intermediate values
  • [x] map inputs

Q19. Which command imports data to Hadoop from a MySQL database?

  • [ ] spark import –connect jdbc:mysql://mysql.example.com/spark –username spark –warehouse-dir user/hue/oozie/deployments/spark
  • [ ] sqoop import –connect jdbc:mysql://mysql.example.com/sqoop –username sqoop –warehouse-dir user/hue/oozie/deployments/sqoop
  • [x] sqoop import –connect jdbc:mysql://mysql.example.com/sqoop –username sqoop –password sqoop –warehouse-dir user/hue/oozie/deployments/sqoop
  • [ ] spark import –connect jdbc:mysql://mysql.example.com/spark –username spark –password spark –warehouse-dir user/hue/oozie/deployments/spark

Q20. In what form is Reducer output presented?

  • [x] compressed (NOT SURE)
  • [ ] sorted
  • [ ] not sorted
  • [ ] encrypted

Q21. Which library should be used to unit test MapReduce code?

  • [ ] JUnit
  • [ ] XUnit
  • [x] MRUnit
  • [ ] HadoopUnit

Q22. If you started the NameNode, then which kind of user must you be?

  • [ ] hadoop-user
  • [x] super-user
  • [ ] node-user
  • [ ] admin-user

Q23. State _ between the JVMs in a MapReduce job

  • [ ] can be configured to be shared
  • [ ] is partially shared
  • [ ] is shared
  • [x] is not shared (https://www.lynda.com/Hadoop-tutorials/Understanding-Java-virtual-machines-JVMs/191942/369545-4.html)

Q24. To create a MapReduce job, what should be coded first?

  • [ ] a static job() method
  • [x] a Job class and instance (NOT SURE)
  • [ ] a job() method
  • [ ] a static Job class

Q25. To connect Hadoop to AWS S3, which client should you use?

  • [x] S3A
  • [ ] S3N
  • [ ] S3
  • [ ] the EMR S3

Q26. HBase works with which type of schema enforcement?

  • [ ] schema on write
  • [ ] no schema
  • [ ] external schema
  • [x] schema on read

Q27. HDFS file are of what type?

  • [ ] read-write
  • [ ] read-only
  • [ ] write-only
  • [x] append-only

Q28. A distributed cache file path can originate from what location?

  • [ ] hdfs or top
  • [ ] http
  • [x] hdfs or http
  • [ ] hdfs

Q29. Which library should you use to perform ETL-type MapReduce jobs?

  • [ ] Hive
  • [x] Pig
  • [ ] Impala
  • [ ] Mahout

Q30. What is the output of the Reducer?

  • [ ] a relational table
  • [ ] an update to the input file
  • [ ] a single, combined list
  • [x] a set of pairs

map function processes a certain key-value pair and emits a certain number of key-value pairs and the Reduce function processes values grouped by the same key and emits another set of key-value pairs as output.

Q31. To optimize a Mapper, what should you perform first?

  • [ ] Override the default Partitioner.
  • [ ] Skip bad records.
  • [ ] Break up Mappers that do more than one task into multiple Mappers.
  • [ ] Combine Mappers that do one task into large Mappers.

Q32. When implemented on a public cloud, with what does Hadoop processing interact?

  • [x] files in object storage
  • [ ] graph data in graph databases
  • [ ] relational data in managed RDBMS systems
  • [ ] JSON data in NoSQL databases

Q33. In the Hadoop system, what administrative mode is used for maintenance?

  • [ ] data mode
  • [x] safe mode
  • [ ] single-user mode
  • [ ] pseudo-distributed mode

Q34. In what format does RecordWriter write an output file?

  • [x] pairs
  • [ ] keys
  • [ ] values
  • [ ] pairs

Q35. To what does the Mapper map input key/value pairs?

  • [ ] an average of keys for values
  • [ ] a sum of keys for values
  • [x] a set of intermediate key/value pairs
  • [ ] a set of final key/value pairs

Q36. Which Hive query returns the first 1,000 values?

  • [ ] SELECT…WHERE value = 1000
  • [x] SELECT … LIMIT 1000
  • [ ] SELECT TOP 1000 …
  • [ ] SELECT MAX 1000…

Q37. To implement high availability, how many instances of the master node should you configure?

  • [ ] one
  • [ ] zero
  • [ ] shared
  • [x] two or more (https://data-flair.training/blogs/hadoop-high-availability-tutorial)

Q38. Hadoop 2.x and later implement which service as the resource coordinator?

  • [ ] kubernetes
  • [ ] JobManager
  • [ ] JobTracker
  • [x] YARN

Q39. In MapReduce, _ have _

  • [ ] tasks; jobs
  • [ ] jobs; activities
  • [x] jobs; tasks
  • [ ] activities; tasks

Q40. What type of software is Hadoop Common?

  • [ ] database
  • [x] distributed computing framework
  • [ ] operating system
  • [ ] productivity tool

Q41. If no reduction is desired, you should set the numbers of _ tasks to zero

  • [ ] combiner
  • [x] reduce
  • [ ] mapper
  • [ ] intermediate

Q42. MapReduce applications use which of these classes to report their statistics?

  • [ ] mapper
  • [ ] reducer
  • [ ] combiner
  • [x] counter

Q43. _ is the query language, and _ is storage for NoSQL on Hadoop

  • [ ] HDFS; HQL
  • [x] HQL; HBase
  • [ ] HDFS; SQL
  • [ ] SQL; HBase

Q44. MapReduce 1.0 _ YARN

  • [x] does not include
  • [ ] is the same thing as
  • [ ] includes
  • [ ] replaces

Q45. Which type of Hadoop node executes file system namespace operations like opening, closing, and renaming files and directories?

  • [ ] ControllerNode
  • [ ] DataNode
  • [ ] MetadataNode
  • [x] NameNode

Q46. HQL queries produce which job types?

  • [ ] Impala
  • [ ] MapReduce
  • [ ] Spark
  • [ ] Pig

Q47. Suppose you are trying to finish a Pig script that converts text in the input string to uppercase. What code is needed on line 2 below?

1 data = LOAD '/user/hue/pig/examples/data/midsummer.txt'...
2
  • [ ] as (text:CHAR[]); upper_case = FOREACH data GENERATE org.apache.pig.piggybank.evaluation.string.UPPER(TEXT);
  • [x] as (text:CHARARRAY); upper_case = FOREACH data GENERATE org.apache.pig.piggybank.evaluation.string.UPPER(TEXT);
  • [ ] as (text:CHAR[]); upper_case = FOREACH data org.apache.pig.piggybank.evaluation.string.UPPER(TEXT);
  • [ ] as (text:CHARARRAY); upper_case = FOREACH data org.apache.pig.piggybank.evaluation.string.UPPER(TEXT);

Q48. In a MapReduce job, which phase runs after the Map phase completes?

  • [x] Combiner
  • [ ] Reducer
  • [ ] Map2
  • [ ] Shuffle and Sort

Q49. Where would you configure the size of a block in a Hadoop environment?

  • [x] dfs.block.size in hdfs-site.xmls
  • [ ] orc.write.variable.length.blocks in hive-default.xml
  • [ ] mapreduce.job.ubertask.maxbytes in mapred-site.xml
  • [ ] hdfs.block.size in hdfs-site.xml

Q50. Hadoop systems are _ RDBMS systems.

  • [ ] replacements for
  • [ ] not used with
  • [ ] substitutes for
  • [x] additions for

Q51. Which object can be used to distribute jars or libraries for use in MapReduce tasks?

  • [x] distributed cache
  • [ ] library manager
  • [ ] lookup store
  • [ ] registry

Q52. To view the execution details of an Impala query plan, which function would you use ?

  • [x] explain
  • [ ] query action
  • [ ] detail
  • [ ] query plan

Q53. Which feature is used to roll back a corrupted HDFS instance to a previously known good point in time?

  • [ ] partitioning
  • [x] snapshot
  • [ ] replication
  • [ ] high availability

Reference

Q54. Hadoop Common is written in which language?

  • [ ] C++
  • [ ] C
  • [ ] Haskell
  • [x] Java

Q55. Which file system does Hadoop use for storage?

  • [ ] NAS
  • [ ] FAT
  • [x] HDFS
  • [ ] NFS

Q56. What kind of storage and processing does Hadoop support?

  • [ ] encrypted
  • [ ] verified
  • [x] distributed
  • [ ] remote

Q57. Hadoop Common consists of which components?

  • [ ] Spark and YARN
  • [x] HDFS and MapReduce
  • [ ] HDFS and S3
  • [ ] Spark and MapReduce

Q58. Most Apache Hadoop committers’ work is done at which commercial company?

  • [ ] Cloudera
  • [ ] Microsoft
  • [ ] Google
  • [x] Amazon

Q59. To get information about Reducer job runs, which object should be added?

  • [] Reporter
  • [ ] IntReadable
  • [ ] IntWritable
  • [ ] Writer

Q60. After changing the default block size and restarting the cluster, to which data does the new size apply?

  • [ ] all data
  • [ ] no data
  • [ ] existing data
  • [ ] new data

Q61. Which statement should you add to improve the performance of the following query?

SELECT
  c.id,
  c.name,
  c.email_preferences.categories.surveys
FROM customers c;
  • [ ] GROUP BY
  • [ ] FILTER
  • [ ] SUB-SELECT
  • [ ] SORT

Q62. What custom object should you implement to reduce IO in MapReduce?

  • [ ] Comparator
  • [ ] Mapper
  • [x] Combiner
  • [ ] Reducer

Q63. You can optimize Hive queries using which method?

  • [ ] secondary indices
  • [ ] summary statistics
  • [ ] column-based statistics
  • [ ] a primary key index

Q64. If you are processing a single action on each input, what type of job should you create?

  • [ ] partition-only
  • [x] map-only
  • [ ] reduce-only
  • [ ] combine-only

Q65. The simplest possible MapReduce job optimization is to perform which of these actions?

  • [ ] Add more master nodes.
  • [x] Implement optimized InputSplits.
  • [ ] Add more DataNodes.
  • [ ] Implement a custom Mapper.

Q66. When you implement a custom Writable, you must also define which of these object?

  • [ ] a sort policy
  • [ ] a combiner policy
  • [ ] a compression policy
  • [ ] a filter policy

Q67. To copy a file into the Hadoop file system, what command should you use?

  • [ ] hadoop fs -copy
  • [ ] hadoop fs -copy
  • [x] hadoop fs -copyFromLocal
  • [ ] hadoop fs -copyFromLocal

Q68. Delete a Hive _ table and you will delete the table _.

  • [ ] managed; metadata
  • [ ] external; data and metadata
  • [ ] external; metadata
  • [x] managed; data

Q69. To see how Hive executed a JOIN operation, use the _ statement and look for the _ value.

  • [ ] EXPLAIN; JOIN Operator
  • [ ] QUERY; MAP JOIN Operator
  • [ ] EXPLAIN; MAP JOIN Operator
  • [ ] QUERY; JOIN Operator

Q70. Pig operates in mainly how many nodes?

  • [x] Two
  • [ ] Three
  • [ ] Four
  • [ ] Five

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FAQs

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The LinkedIn Skill Assessments feature allows you to demonstrate your knowledge of the skills you’ve added to your profile by completing assessments specific to those skills. LinkedIn skills evaluations are a means to demonstrate the skills of job hunters. This is how LinkedIn Skill Assessments can be used.

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Yes, if will Pass the Skill Assessment Test, then you will earn a skill badge that will reflect in your LinkedIn profile. For passing in LinkedIn Skill Assessment, you must score 70% or higher, then only you will get your to skill badge.

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It’s good practice to update and tweak your LinkedIn profile every few months. After all, life is dynamic and (I hope) you’re always learning new skills. You will notice a button under the Skills & Endorsements tab within your LinkedIn Profile: ‘Take skill quiz.‘ Upon clicking, you will choose your desired skill test quiz and complete your assessment.

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