NPTEL Big Data Computing Week 2 Assignment Answers 2023

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NPTEL Big Data Computing Week 2 Assignment Answers

1. What is the primary purpose of the Map phase in the MapReduce framework?

  • Combining and aggregating data.
  • Storing intermediate results.
  • Sorting and shuffling data.
  • Applying a user-defined function to each input record.
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2. Which of the following statements about the components in the MapReduce framework is true?
Statement 1: The Job Tracker is hosted inside the master and it receives the job execution request from the client.
Statement 2: Task Tracker is the MapReduce component on the slave machine as there are multiple slave machines.

  • Both statements are true.
  • Only statement 1 is true.
  • Only statement 2 is true.
  • Both statements are false.
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3. Which of the following is the slave/worker node and holds the user data in the form of Data Blocks?

  • NameNode
  • Data block
  • Replication
  • DataNode
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4. The number of maps in MapReduce is usually driven by the total size of____________.

  • Inputs
  • Outputs
  • Tasks
  • None of the mentioned
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5. Identify the correct statement(s) in the context of YARN (Yet Another Resource Negotiator):

A. YARN is highly scalable.
B. YARN enhances a Hadoop compute cluster in many ways.
C. YARN extends the power of Hadoop to incumbent and new technologies found within the data center.

Choose the correct option:
Only statement A is correct.
Statements A and B are correct.
Statements B and C are correct.
All statements A, B, and C are correct.

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6. Which of the following statements accurately describe(s) the role and responsibilities of the Job Tracker in the context of Big Data computing?

A. The Job Tracker is hosted inside the master and it receives the job execution request from the client.
B. The Job Tracker breaks down big computations into smaller parts and allocates tasks to slave nodes.
C. The Job Tracker stores all the intermediate results from task execution on the master node.
D. The Job Tracker is responsible for managing the distributed file system in the cluster.

Choose the correct option:
Only statement A is correct.
Statements A and B are correct.
Statements A, B, and C are correct.
None of the statements are correct.

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7. Consider the pseudo-code for MapReduce’s WordCount example. Let’s now assume that you want to determine the frequency of phrases consisting of 3 words each instead of determining the frequency of single words. Which part of the (pseudo-)code do you need to adapt?

  • Only map()
  • Only reduce()
  • map() and reduce()
  • None
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8. How does the NameNode determine that a DataNode is active, using a mechanism known as:

  • Heartbeats
  • Datapulse
  • h-signal
  • Active-pulse
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9. Which function processes a key/value pair to generate a set of intermediate key/value pairs?

  • Map
  • Reduce
  • Both Map and Reduce
  • None of the mentioned
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10. Which of the following options correctly identifies the three main components of the YARN Scheduler in Hadoop?

  • Global Application Manager (GAM), Cluster Resource Tracker (CRT), Job Task Coordinator (JTC)
  • Resource Monitor (RM), Cluster Supervisor (CS), Task Executor (TE)
  • Global Resource Manager (RM), Per server Node Manager (NM), Per application (job) Application Master (AM)
  • Central Resource Coordinator (CRC), Node Resource Manager (NRM), Application Controller (AC)
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Course NameBig Data Computing
CategoryNPTEL Assignment Answer
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