NPTEL Big Data Computing Assignment 2 Answer
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NPTEL Big Data Computing Assignment
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 to social media sites, digital pictures and videos, purchase transaction records, and GPS signals from cell phone to name a few. This amount of large data with different velocities and varieties is termed as big data and 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 practicing engineers/ scientists from the diverse fields and interested in learning about the novel cutting edge techniques and applications of Big Data Computing.
Next Week Assignment Answers
This course can have Associate in Nursing unproctored programming communication conjointly excluding the Proctored communication, please check announcement section for date and time. The programming communication can have a weightage of twenty fifth towards the ultimate score.
- Assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
- ( All assignments in a particular week will be counted towards final scoring – quizzes and programming assignments).
- Unproctored programming exam score = 25% of the average scores obtained as part of Unproctored programming exam – out of 100
- Proctored Exam score =50% of the proctored certification exam score out of 100
UNPROCTORED PROGRAMMING EXAM SCORE >=10/25 AND PROCTORED EXAM SCORE >= 20/50.
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BELOW YOU CAN GET YOUR NPTEL Big Data Computing Assignment 2 Answer 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
NPTEL Big Data Computing Assignment 2 Answers 2022
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
NPTEL Big Data Computing Assignment 2 Answers 2022
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:-
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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