Hadoop 101 Cognitive Class Exam Answers 100% Correct [Latest Updated ]

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Here are the 100 % correct answers of all the modules and the final exam of Hadoop IBM Course Certificate Exam Answers – Cognitive Class Hadoop 101 Answers

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Module 1: Introduction to Hadoop

Q1) Hadoop is designed for Online Transactional Processing. True or False?

  • True
  • False

Q2) When is Hadoop useful for an application?

  • When all of the application data is unstructured
  • When work can be parallelized
  • When the application requires low latency data access
  • When random data access is required

Q3) With the help of InfoSphere Streams, Hadoop can be used with data-at-rest as well as data-in-motion. True or false?

  • True
  • False     

Module 2: Hadoop Architecture & HDFS

Q1) Network bandwidth between any two nodes in the same rack is greater than bandwidth between two nodes on different racks. True or False?

  • True
  • False

Q2) Hadoop works best on a large data set. True or False?

  • True
  • False

Q3) HDFS is a fully POSIX compliant file system. True or False?

  • True
  • False

Module 3: Hadoop Administration

Q1) You can add or remove nodes from the open source Apache Ambari console. True or False?

  • True
  • False

Q2) It is recommended that you start all of the services in Ambari in order to speed up communications. True or False?

  • True
  • False

Q3) To remove a node using Ambari, you must first remove all of the services using that node. True or False?

  • True
  • False

Module 4: Hadoop Components

Q1) The output of the shuffle operation goes into the mapper before going into the reducer. True or False?

  • True
  • False

Q2) What is true about Pig and Hive in relation to the Hadoop ecosystem?

  • HiveQL requires that you create the data flow
  • PigLatin requires that the data have a schema
  • Fewer lines of code are required compared to a Java program correct
  • All of the above

Q3) Which of the following tools is designed to move data to and from a relational database?

  • Pig
  • Flume
  • Oozie
  • Sqoop

Final Exam Answers HADOOP Certification by IBM

1. HDFS is designed for:

  • Large files, streaming data access, and commodity hardware
  • Large files, low latency data access, and commodity hardware
  • Large files, streaming data access, and high-end hardware
  • Small files, streaming data access, and commodity hardware
  • None of the options is correct

2. The Hadoop distributed file system (HDFS) is the only distributed file system supported by Hadoop. True or false?

  • True
  • False

3. The input to a mapper takes the form < k1, v1 > . What form does the mapper’s output take?

  • < list(k2), v2 >
  • list( < k2, v2 > )
  • < k2, list(v2) >
  • < k1, v1 >
  • None of the options is correct

4. What is Flume?

  • A service for moving large amounts of data around a cluster soon after the data is produced.
  • A distributed file system.
  • A programming language that translates high-level queries into map tasks and reduce tasks.
  • A platform for executing MapReduce jobs.
  • None of the options is correct

5. What is the purpose of the shuffle operation in Hadoop MapReduce?

  • To pre-sort the data before it enters each mapper node.
  • To distribute input splits among mapper nodes.
  • To transfer each mapper’s output to the appropriate reducer node based on a partitioning function.
  • To randomly distribute mapper output among reducer nodes.
  • None of the options is correct

6. Which of the following is a duty of the DataNodes in HDFS?

  • Control the execution of an individual map task or a reduce task.
  • Maintain the file system tree and metadata for all files and directories.
  • Manage the file system namespace.
  • Store and retrieve blocks when told to by clients or the NameNode.
  • None of the options is correct

7. Which of the following is a duty of the NameNode in HDFS?

  • Control the MapReduce job from end-to-end
  • Maintain the file system tree and metadata for all files and directories
  • Store the block data
  • Transfer block data from the data nodes to the clients
  • None of the options is correct

8. Which component determines the specific nodes that a MapReduce task will run on?

  • The NameNode
  • The JobTracker
  • The TaskTrackers
  • The JobClient
  • None of the options is correct

9). Which of the following characteristics is common to Pig, Hive, and Jaql?

  • All translate high-level languages to MapReduce jobs
  • All operate on JSON data structures
  • All are data flow languages
  • All support random reads/writes

               None of the options is correct    

10. Which of the following is NOT an open source project related to Hadoop?

  • Pig
  • UIMA
  • Jackal
  • Avro
  • Lucene

11. During the replication process, a block of data is written to all specified DataNodes in parallel. True or false?

  • True
  • False

12. With IBM BigInsights, Hadoop components can be started and stopped from a command line and from the Ambari Console. True or false?

  • True
  • False

13. When loading data into HDFS, data is held at the NameNode until the block is filled and then the data is sent to a DataNode. True or false?

  • True
  • False

14. Which of the following is true about the Hadoop federation?

  • Uses JournalNodes to decide the active NameNode
  • Allows non-Hadoop programs to access data in HDFS
  • Allows multiple NameNodes with their own namespaces to share a pool of DataNodes
  • Implements a resource manager external to all Hadoop frameworks

15. Which of the following is true about Hadoop high availability?

  • Uses JournalNodes to decide the active NameNode
  • Allows non-Hadoop programs to access data in HDFS
  • Allows multiple NameNodes with their own namespaces to share a pool of DataNodes
  • Implements a resource manager external to all Hadoop frameworks

16. Which of the following is true about YARN?

  • Uses JournalNodes to decide the active NameNode
  • Allows non-Hadoop programs to access data in HDFS
  • Allows multiple NameNodes with their own namespaces to share a pool of DataNodes
  • Implements a resource manager external to all Hadoop frameworks

17. Which of the following sentences is true?

  • Hadoop is good for OLTP, DSS, and big data
  • Hadoop includes open source components and closed source components
  • Hadoop is a new technology designed to replace relational databases
  • All of the options are correct
  • None of the options is correct

18. In which of these scenarios should Hadoop be used?

  • Processing billions of email messages to perform text analytics correct
  • Obtaining stock price trends on a per-minute basis
  • Processing weather sensor information to predict a hurricane path
  • Analyzing vital signs of a baby in real time
  • None of the options is correct

COURSE SYLLABUS

Module 1 –  Introduction to Hadoop

  • Understand what Hadoop is
  • Understand what Big Data is
  • Learn about other open source software related to Hadoop
  • Understand how Big Data solutions can work on the Cloud

Module 2 – Hadoop Architecture

  • Understand the main Hadoop components
  • Learn how HDFS works
  • List data access patterns for which HDFS is designed
  • Describe how data is stored in an HDFS cluster

Module 3 – Hadoop Administration

  • Add and remove nodes from a cluster
  • Verify the health of a clusterStart and stop a clusters components
  • Modify Hadoop configuration parameters
  • Setup a rack topology

Module 4 – Hadoop Components

  • Describe the MapReduce philosophy
  • Explain how Pig and Hive can be used in a Hadoop environment
  • Describe how Flume and Sqoop can be used to move data into Hadoop
  • Describe how Oozie is used to schedule and control Hadoop job execution

Conclusion

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