NPTEL Big Data Computing Assignment 2 Answers 2022:- In This article, we have provided the answers to NPTEL Big Data Computing Assignment 2. You must submit your assignment with your own knowledge.
About Big Data Computing
In today’s fast-paced digital world, the incredible amount of data being generated every minute has grown tremendously from sensors used to gather climate information, posts on social media sites, digital pictures and videos, purchase transaction records, and GPS signals from cell phones to name a few. This amount of large data with different velocities and varieties is called big data. Its analytics enables professionals to convert extensive data through statistical and quantitative analysis into powerful insights that can drive efficient decisions. This course provides an in-depth understanding of terminologies and the core concepts behind big data problems, applications, systems and the techniques, that underlie today’s big data computing technologies. It provides an introduction to some of the most common frameworks such as Apache Spark, Hadoop, MapReduce, Large scale data storage technologies such as in-memory key/value storage systems, NoSQL distributed databases, Apache Cassandra, HBase and Big Data Streaming Platforms such as Apache Spark Streaming, Apache Kafka Streams that has made big data analysis easier and more accessible. And while discussing the concepts and techniques, we will also look at various applications of Big Data Analytics using Machine Learning, Deep Learning, Graph Processing and many others. The course is suitable for all UG/PG students and practising engineers/ scientists from diverse fields interested in learning about the novel cutting-edge techniques and applications of Big Data Computing.
CRITERIA TO GET A CERTIFICATE
Average assignment score = 25% of the average of the best 6 assignments out of the total 8 assignments given in the course.
Exam score = 75% of the proctored certification exam score out of 100
Final score = Average assignment score + Exam score
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND THE EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.
You can find Big Data Computing Assignment 2 Answers 2022 below.
NPTEL Big Data Computing Assignment 2 Answers 2022
1. _______________works as a master server that manages the file system namespace and basically regulates access to these files from clients, and it also keeps track of where the data is on the Data Nodes and where the blocks are distributed essentially.
a. Data Node
b. Name Node
c. Data block
d. Replication
Answer:- b
2. When a client contacts the name node for accessing a file, the name node responds with
a. Size of the file requested
b. Block ID of the file requested
c. Block ID and hostname of any one of the data nodes containing that block
d. Block ID and hostname of all the data nodes containing that block.
Answer:- d
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3. The namenode knows that the datanode is active using a mechanism known as
a. datapulse
b. h-signal
c. heartbeats
d. Active-pulse
Answer:- c
4. For reading/writing data to/from HDFS, clients first connect to ______________
a. NameNode
b. Checkpoint Node
c. DataNode
d. None of the mentioned
Answer:- a
5. True or False ?
HDFS performs replication, although it results in data redundancy?
a. True
b. False
Answer:- a
6. Consider the following statements:
Statement 1: Task Tracker is hosted inside the master and it receives the job execution request from the client.
Statement 2: Job tracker is the MapReduce component on the slave machine as there are multiple slave machines.
a. Only statement 1 is true
b. Only statement 2 is true
c. Both statements are true
d. Both statements are false
Answer:- d
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7. Consider the following statements:
Statement 1: MapReduce is a programming model and an associated implementation for processing and generating large data sets.
Statement 2: Users specify a map function that processes a key/value pair to generate a set of intermediate key/value pairs, and a reduce function that merges all intermediate values associated with the same intermediate key.
a. Only statement 1 is true
b. Only statement 2 is true
c. Both statements are true
d. Both statements are false
Answer:- c
8. Point out the correct statement in context of YARN:
a. YARN extends the power of Hadoop to incumbent and new technologies found within the data center
b. YARN is highly scalable
c. YARN enhances a Hadoop compute cluster in many ways
d. All of the mentioned
Answer:- d
9. Apache Hadoop YARN stands for:
a. Yet Another Reserve Negotiator
b. Yet Another Resource Negotiator
c. Yet Another Resource Network
d. Yet Another Resource Manager
Answer:- For Answer Click Here
10. Consider the pseudo-code for MapReduce’s WordCount example (not shown here). Let’s now assume that you want to determine the average length of all the words in a text file. Which part of the pseudo-code do you need to adapt?
a. Only map()
b. Only reduce()
c. map() and reduce()
d. The code does not have to be changed
Answer:- c
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NPTEL Big Data Computing Assignment 2 Answers 2021
1. Consider the following statements:
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.
(A) Only statement 1 is true
(B) Only statement 2 is true
(C) Both statements are true
(D) Both statements are false
Ans:- (C) Both statements are true
2. __________ is the slave/worker node and holds the user data in the form of Data Blocks.
(A) Name Node
(B) Data block
(C) Replication
(D) DataNode
Ans:- (D) DataNode
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3. ______________works as a master server that manages the file system namespace and basically regulates access to these files from clients, and it also keeps track of where the data is on the Data Nodes and where the blocks are distributed essentially.
(A) Name Node
(B) Data block
(C) Replication
(D) Data Node
Ans:- (A) Name Node
4. The number of maps in MapReduce is usually driven by the total size of____________
(A) Inputs
(B) Outputs
(C) Tasks
(D) None of the mentioned
Ans:- (A) Inputs
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5. True or False ? The main duties of task tracker are to break down the receive job that is big computations in small parts, allocate the partial computations that is tasks to the slave nodes monitoring the progress and report of task execution from the slave.
(A)True
(B) False
Ans:- (B) False
6. Point out the correct statement in context of YARN:
(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
(D) All of the mentioned
Ans:- For Answer CLICK HERE
7. Consider the pseudo-code for MapReduce’s WordCount example (not shown here). 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 ?
(A) Only map()
(B) Only reduce()
(C) map() and reduce()
(D) The code does not have to be changed
Ans:- (A) Only map()
8. The namenode knows that the datanode is active using a mechanism known as
(A) Heartbeats
(B) Datapulse
(C) h-signal
(D) Active-pulse
Ans:- For Answer CLICK HERE
9. True or False ?
HDFS performs replication, although it results in data redundancy?
(A) True
(B) False
Ans:- (A) True
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10. _______________function processes a key/value pair to generate a set of intermediate key/value pairs.
(A) Map
(B) Reduce
(C) Both Map and Reduce
(D) None of the mentioned
Ans:- (A) Map
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- Project Management For Managers Answer
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Big Data Computing Assignment 2 Answers 2021:- We do not claim 100% surety of answers, these answers are based on our sole knowledge, and by posting these answers we are just trying to help students, so we urge do your assignment on your own.
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