LinkedIn Hadoop Skill Assessment Answers 2021 | LinkedIn Skill Assessment

Hello Students, Today we are going to share all week evaluation and quiz answers of LinkedIn Hadoop Skill Assessment Answers 2021 started by Coursera completely free of cost. This is a certification course for every aspiring students.

If you did not get this course for free, you can apply for financial advertisements to get this course completely free.

Coursera, India’s largest learning platform, launched millions of free courses for students every day. These courses are from various recognized university, where industry experts and professors teach in a very good manner and in a more understandable manner.

Here, you will get the LinkedIn Hadoop Skill Assessment Answers 2021 Exam in bold color which are given below.

These are the answers to LinkedIn Hadoop Skill Assessment Answers 2021 free certification course. These answers have been updated recently and are 100% correct. The final exam is on Monday, April. All answers are 100%.

LinkedIn Hadoop Assessment Answers

Q1. SQL Windowing functions are implemented in Hive using which keywords?

  • UNION DISTINCT, RANK
  • OVER, RANK
  • OVER, EXCEPT
  • UNION DISTINCT, RANK

Q2. Partitioner controls the partitioning of what data?

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

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

  • 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){…}

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. 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

Q8. Hadoop Core supports which CAP capabilities?

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

Q9. To verify job status, look for the value **\_** in the **\_**.

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

Q10 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)

Q11. 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

Q12. DataNode supports which type of drives?

  • hot swappable
  • cold swappable
  • warm swappable
  • non-swappable

Q13. What are the primary phases of a Reducer?

  • combine, map, and reduce
  • shuffle, sort, and reduce
  • reduce, sort, and combine
  • map, sort, and combine

Q14. 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

Q15. In what form is Reducer output presented?

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

Q16. For high availability, use multiple nodes of which type?

  • data
  • name
  • memory
  • worker

Q17. 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

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

  • distributed cache
  • local cache
  • partitioned cache
  • cluster cache

Q20. 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
  • 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

Q21. 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)

Q22. Which library should be used to unit test MapReduce code?

  • JUnit
  • XUnit
  • MRUnit
  • HadoopUnit

Q23. If you started the NameNode, then which kind of user must you be?

  • hadoop-user
  • super-user
  • node-user
  • admin-user

Q24. To connect Hadoop to AWS S3, which client should you use?

  • S3A
  • S3N
  • S3
  • the EMR S3

Q25 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

Q26. A distributed cache file path can originate from what location?

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

Q27. HBase works with which type of schema enforcement?

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

Q28. HDFS file are of what type?

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

Q29. 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.

Q30 Which library should you use to perform ETL-type MapReduce jobs?

  • Hive
  • Pig
  • Impala
  • Mahout

Q31. 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

Conclusion

Quizzes can be used to generate more interest among the students who want to learn in a competitive situation. Two such quizzes that work well with students in the middle school year level include “The Hollow Square Quiz” and “The Hollow Circle Quiz.” The second quiz is called “The Student Created Quiz”, which can be used as part of the revision program. From our website the student of each group will be get quiz answers on that topic.

Leave a Comment