LinkedIn Hadoop Skill Assessment Answers 2021 | LinkedIn Skill Assessment

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LinkedIn Hadoop Skill Assessment Answers 2021 | LinkedIn Skill Assessment

Hello Learners, Today we are going to share LinkedIn Hadoop Skill Assessment Answers. So, if you are a LinkedIn user, then you must give Skill Assessment Test. This Assessment Skill Test in LinkedIn is totally free and after completion of Assessment, you’ll earn a verified LinkedIn Skill Badge๐Ÿฅ‡ that will display on your profile and will help you in getting hired by recruiters.

Who can give this Skill Assessment Test?

Any LinkedIn User-

  • Wants to increase chances for getting hire,
  • Wants to Earn LinkedIn Skill Badge๐Ÿฅ‡๐Ÿฅ‡,
  • Wants to rank their LinkedIn Profile,
  • Wants to improve their Programming Skills,
  • Anyone interested in improving their whiteboard coding skill,
  • Anyone who wants to become a Software Engineer, SDE, Data Scientist, Machine Learning Engineer etc.,
  • Any students 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.

Here, you will find Hadoop Quiz Answers in Bold Color which are given below. These answers are updated recently and are 100% correctโœ… answers of LinkedIn Hadoop Skill Assessment.

69% of professionals think verified skills are more important than college education. And 89% of hirers said they think skill assessments are an essential part of evaluating candidates for a job.

Use โ€œCtrl+Fโ€ To Find Any Questions Answer. & For Mobile User You Just Need To Click On Three dots In Your Browser & You Will Get A โ€œFindโ€ Option There. Use These Option to Get Any Random Questions Answer.

LinkedIn Hadoop Assessment Answers

Q1. Partitioner controls the partitioning of what data?

  • final keys
  • final values
  • intermediate keys
  • intermediate values

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

  • UNION DISTINCT, RANK
  • 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.
  • 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
  • signed HTTP

Q5. MapReduce jobs can be written in which language?
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
  • Combiner
  • Mapper
  • Counter

Q7. To verify job status, look for the value **\_** in the **\_**.

  • SUCCEEDED; syslog
  • SUCCEEDED; stdout
  • DONE; syslog
  • DONE; stdout

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

  • public void reduce(Text key, Iterator values, Context context){โ€ฆ}
  • public static void reduce(Text key, IntWritable[] values, Context context){โ€ฆ}
  • public static void reduce(Text key, Iterator values, Context context){โ€ฆ}
  • public void reduce(Text key, IntWritable[] values, Context context){โ€ฆ}

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
  • TaskCounter (NOT SURE)

Q10. Hadoop Core supports which CAP capabilities?

  • A, P
  • C, A
  • C, P
  • C, A, P

Q11. What are the primary phases of a Reducer?

  • combine, map, and reduce
  • 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
  • Zookeeper; open source

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

  • data
  • name
  • memory
  • worker

Q14. DataNode supports which type of drives?

  • 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
  • in memory of all workers

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

  • on the reducer nodes of the cluster
  • 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?

  • 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
  • map inputs

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

  • spark import โ€“connect jdbc:mysql://mysql.example.com/spark โ€“username spark โ€“warehouse-dir user/hue/oozie/deployments/spark
  • sqoop import โ€“connect jdbc:mysql://mysql.example.com/sqoop โ€“username sqoop โ€“warehouse-dir user/hue/oozie/deployments/sqoop
  • sqoop import โ€“connect jdbc:mysql://mysql.example.com/sqoop โ€“username sqoop โ€“password sqoop โ€“warehouse-dir user/hue/oozie/deployments/sqoop
  • spark import โ€“connect jdbc:mysql://mysql.example.com/spark โ€“username spark โ€“password spark โ€“warehouse-dir user/hue/oozie/deployments/spark

Q20. In what form is Reducer output presented?

  • compressed (NOT SURE)
  • sorted
  • not sorted
  • encrypted

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

  • JUnit
  • XUnit
  • MRUnit
  • HadoopUnit

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

  • hadoop-user
  • 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
  • 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
  • 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?

  • S3A
  • S3N
  • S3
  • the EMR S3

Q26. HBase works with which type of schema enforcement?

  • schema on write
  • no schema
  • external schema
  • schema on read

Q27. HDFS file are of what type?

  • read-write
  • read-only
  • write-only
  • append-only

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

  • hdfs or top
  • http
  • hdfs or http
  • hdfs

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

  • Hive
  • Pig
  • Impala
  • Mahout

Q30. What is the output of the Reducer?

  • a relational table
  • an update to the input file
  • a single, combined list
  • a set of <key, value> pairs

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.

Conclusion

Hopefully, this article will be useful for you to find all the Answers of Hadoop Skill Assessment available on LinkedIn for free 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. You can also check out our other course Answers. So, be with us guys we will share a lot more free courses and their exam/quiz solutions also and follow our Techno-RJ Blog for more updates.

FAQs

Is this Skill Assessment Test is free?

Yesย Hadoop Assessment Quizย is totally free on LinkedIn for you. The only thing is needed i.e. your dedication towards 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 you 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 desire skill test quiz and complete your assessment.

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