In this article, you will find the Hadoop LinkedIn assessment answers. Use “Ctrl+F” To Find Any Questions or Answers. For Mobile Users, You Just Need To Click On Three dots In Your Browser & You Will Get A “Find” Option There. Use These Options to Get Any Random Questions answered.
As you already know that this site does not contain only the Linkedin Assessment Answers here, you can also find the solution for other Assessments also. I.e. Fiverr Skills Test answers, Google Course Answers, Coursera Quiz Answers, and Competitive Programming like CodeChef Problems Solutions, & Leetcode Problems Solutions.

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
Before you start:
You must complete this assessment in one session — make sure your internet is reliable.
You can retake this assessment once if you don’t earn a badge.
LinkedIn won’t show your results to anyone without your permission.
After completing the exam, you will get the verified Hadoop LinkedIn assessment Badge.
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.
Q4. Hadoop Auth enforces authentication on protected resources. Once authentication has been established, it sets what type of authenticating cookie?
- [ ] 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
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
- [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
Disclaimer: Hopefully, this article will be useful for you to find all the Hadoop LinkedIn assessment answers and grab some premium knowledge with less effort. If this article really helped you in any way then make sure to share it with your friends on social media and let them also know about this amazing Skill Assessment Test. the solution is provided by Chase2learn. This tutorial is only for Educational and Learning purpose.
Please share our posts on social media platforms and also suggest to your friends to Join Our Groups. Don’t forget to subscribe.
FAQs
What is Linkedin Assessment?
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.
Is this Skill Assessment Test is free?
Yes, Hadoop LinkedIn assessment answers is totally free on LinkedIn for you. The only thing is needed i.e. your dedication toward learning.
When I will get Skill Badge?
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.
How to participate in skill quiz assessment?
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.
LinkedIn Skill Assessments are a series of multiple-choice exams that allow you to prove the skills that are stated in your profile.
How to get Linkedin Skill Badge?
For getting Linkedin Badge in your profile, you need to score at least 70% and above for getting recognition of skill badges.
If you “grade in the 70th percentile or above”—according to LinkedIn—you officially pass and get a LinkedIn skill badge. The social media site will display your badge on your profile.
How long is Skill Assessment valid for?
Skills assessments that do not specify an expiry date are valid for 3 years from the date of the assessment. If more than 3 years have passed by the time the visa application is made, the skills assessment will no longer be valid.
What is the Benefit of Linkedin Skill Assessment?
- Chances of getting hired will be increased.
- You will earn Linkedin Skill Badge.
- Your Linkedin Profile will rank on top.
- You have a chance to get jobs earlier.
- This Skill Assessment will enhance your technical skills, helps you to get recognized by top recruiters, and advanced your knowledge by testing your mind.
Who can give this Linkedin Skill Assessment Test?
Any Linkedin User, Any engineer, developer, or programmer, who wants to improve their Programming Skills
Anyone interested in improving their whiteboard coding skills
Anyone who wants to become a Software Engineer, SDE, Data Scientist, Machine Learning Engineer, etc.
Any students in college who want to start a career in Data Science
Students who have at least high school knowledge in math and who want to start learning data structures
Any self-taught programmer who missed out on a computer science degree.