LinkedIn Hadoop Skill Assessment Answers 2021 | LinkedIn Skill Assessment

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

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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){…}
• 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
• 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 –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

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

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